A leading fintech company is looking for an experienced Lead Developer/Staff Engineer to join their dynamic team. This is a hands-on role where you'll be instrumental in designing and building new features for their core platform, as well as driving innovation to keep them at the forefront of the industry. Key Responsibilities: Take ownership of developing and enhancing the existing codebase, with a focus on ultra-low latency systems. Rotate across various sub-teams, including Exchange, SRE, Analytics, and Crypto Custody, gaining exposure to different areas of the business. Lead technical initiatives while remaining deeply involved in coding and process management, ensuring high-quality outcomes from start to finish. What They're Looking For: Strong expertise in Core Java development with a deep understanding of low-latency concepts. Proficiency in concurrency, data structures, and object-oriented programming. A passion for coding and a drive to stay hands-on while leading technical direction. Experience in financial services, gaming, or other low-latency industries is preferred. This role offers the opportunity to work on cutting-edge technology in a collaborative environment where innovation and technical excellence are highly valued. If you're a seasoned developer ready to take on a leadership role, we encourage you to apply.
26/11/2024
Full time
A leading fintech company is looking for an experienced Lead Developer/Staff Engineer to join their dynamic team. This is a hands-on role where you'll be instrumental in designing and building new features for their core platform, as well as driving innovation to keep them at the forefront of the industry. Key Responsibilities: Take ownership of developing and enhancing the existing codebase, with a focus on ultra-low latency systems. Rotate across various sub-teams, including Exchange, SRE, Analytics, and Crypto Custody, gaining exposure to different areas of the business. Lead technical initiatives while remaining deeply involved in coding and process management, ensuring high-quality outcomes from start to finish. What They're Looking For: Strong expertise in Core Java development with a deep understanding of low-latency concepts. Proficiency in concurrency, data structures, and object-oriented programming. A passion for coding and a drive to stay hands-on while leading technical direction. Experience in financial services, gaming, or other low-latency industries is preferred. This role offers the opportunity to work on cutting-edge technology in a collaborative environment where innovation and technical excellence are highly valued. If you're a seasoned developer ready to take on a leadership role, we encourage you to apply.
Senior Datawarehouse Engineer Hybrid Working - 3 days onsite per week Our client is looking for a talented and self-motivated Data Engineer to join their rapidly growing IT team. As part of an ambitious technology company working in the Collections & Recoveries sector, you'll play a key role in developing and optimizing our data warehouse and analytics platform, which empowers our clients to improve recoveries using innovative technology. In this role, you'll work closely with data analysts, scientists, and business stakeholders to gather requirements and populate the data warehouse. You will develop, maintain, and support ETL processes, while designing and configuring databases to support reporting and analytics. Key Responsibilities: Design and build data warehouses and analytics platforms to meet business needs Develop and maintain ETL processes Work with senior stakeholders to understand reporting and MI requirements Collaborate with data teams to optimize data structures for analytics Preferred Skills/Experience: Proven experience in data warehouse development and architecture Strong knowledge of ETL processes (SSIS, SQL, MDX) Expertise in SQL database development and Power BI Familiarity with cloud data architecture and dimensional data modelling Excellent troubleshooting and support experience Desirable Knowledge: Data Science/Python/R, Collections & Recoveries Industry, and ISO27001/ISO9001 Senior Datawarehouse Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
26/11/2024
Full time
Senior Datawarehouse Engineer Hybrid Working - 3 days onsite per week Our client is looking for a talented and self-motivated Data Engineer to join their rapidly growing IT team. As part of an ambitious technology company working in the Collections & Recoveries sector, you'll play a key role in developing and optimizing our data warehouse and analytics platform, which empowers our clients to improve recoveries using innovative technology. In this role, you'll work closely with data analysts, scientists, and business stakeholders to gather requirements and populate the data warehouse. You will develop, maintain, and support ETL processes, while designing and configuring databases to support reporting and analytics. Key Responsibilities: Design and build data warehouses and analytics platforms to meet business needs Develop and maintain ETL processes Work with senior stakeholders to understand reporting and MI requirements Collaborate with data teams to optimize data structures for analytics Preferred Skills/Experience: Proven experience in data warehouse development and architecture Strong knowledge of ETL processes (SSIS, SQL, MDX) Expertise in SQL database development and Power BI Familiarity with cloud data architecture and dimensional data modelling Excellent troubleshooting and support experience Desirable Knowledge: Data Science/Python/R, Collections & Recoveries Industry, and ISO27001/ISO9001 Senior Datawarehouse Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Junior/Mid Data Engineer - Exciting Opportunity in Burgess Hill Are you passionate about data optimization and analytics? Join My client as a Data Engineer, where you'll design and maintain data pipelines, enhance data quality, and drive business insights. This role involves working with cross-functional teams to automate processes, support data science initiatives, and contribute to digital transformation projects. If you're skilled in SQL, Azure Data Factory, big data tools, and Scripting languages like Python or Java, this is your chance to make an impact in a dynamic environment. Occasional global travel may be required. Apply now and shape the future of data! Strong SQL knowledge and experience with relational and NoSQL databases. Proficiency in building and optimizing data pipelines and architectures. Experience with data pipeline/workflow management tools. Expertise in big data tools such as Hadoop, Spark, and Kafka. Proficiency in object-oriented or functional Scripting languages: Python, Java, C++, Scala, etc. Experience with Azure Data Factory. Skilled in root cause analysis of data and processes. Ability to build processes supporting data transformation, data structures, metadata, and dependency management. Excellent project management and organizational skills. Familiarity with Microsoft Office, particularly Excel; Power BI is a plus. Basic knowledge of Machine Learning and SAP is advantageous. Please feel free to apply!
26/11/2024
Full time
Junior/Mid Data Engineer - Exciting Opportunity in Burgess Hill Are you passionate about data optimization and analytics? Join My client as a Data Engineer, where you'll design and maintain data pipelines, enhance data quality, and drive business insights. This role involves working with cross-functional teams to automate processes, support data science initiatives, and contribute to digital transformation projects. If you're skilled in SQL, Azure Data Factory, big data tools, and Scripting languages like Python or Java, this is your chance to make an impact in a dynamic environment. Occasional global travel may be required. Apply now and shape the future of data! Strong SQL knowledge and experience with relational and NoSQL databases. Proficiency in building and optimizing data pipelines and architectures. Experience with data pipeline/workflow management tools. Expertise in big data tools such as Hadoop, Spark, and Kafka. Proficiency in object-oriented or functional Scripting languages: Python, Java, C++, Scala, etc. Experience with Azure Data Factory. Skilled in root cause analysis of data and processes. Ability to build processes supporting data transformation, data structures, metadata, and dependency management. Excellent project management and organizational skills. Familiarity with Microsoft Office, particularly Excel; Power BI is a plus. Basic knowledge of Machine Learning and SAP is advantageous. Please feel free to apply!
Prototype Engineer 13 Month Contract Up to £26.61ph (via Umbrella) Surrey I am urgently looking for a specialist to join a leading Automotive client of mine to assist with the early success of their vehicle programmes. This is for a 13-month initial contract where you will need to extract key trends during the planning and delivery phase of the client's prototype builds, reporting insights using both clear and concise visualisation methods. Falling between Engineering and Supply Chain, this role provides a great opportunity to explore and deliver efficiencies within the team processes. Key Deliverables: Support Build Engineers in the planning and delivery of early prototype builds via KPI and status reporting. Ensure accurate and efficient operation of the inventory management system. Provide meaningful insights into the status of active and upcoming prototype builds, targeting on-time delivery. Familiarisation of existing team and business processes with a focus on driving continuous improvement. Management of the BOM across each project/prototype, ensuring accuracy and timely updates in parallel to concept design change. Identify operational challenges, driving effective solutions via clear communication and data-driven analytics. Required Skills: Proficiency in statistical analysis and data modelling to interpret complex datasets related to project management KPIs, vehicle BOMs and inventory management. Proficiency in various data visualisation and manipulation tools. Experience using SAP products is preferred. Experience within the automotive industry is preferred. I have interview slots ready to be filled so if this role is something you're qualified for and have the right to work in the UK please submit your CV so we can discuss further.
26/11/2024
Project-based
Prototype Engineer 13 Month Contract Up to £26.61ph (via Umbrella) Surrey I am urgently looking for a specialist to join a leading Automotive client of mine to assist with the early success of their vehicle programmes. This is for a 13-month initial contract where you will need to extract key trends during the planning and delivery phase of the client's prototype builds, reporting insights using both clear and concise visualisation methods. Falling between Engineering and Supply Chain, this role provides a great opportunity to explore and deliver efficiencies within the team processes. Key Deliverables: Support Build Engineers in the planning and delivery of early prototype builds via KPI and status reporting. Ensure accurate and efficient operation of the inventory management system. Provide meaningful insights into the status of active and upcoming prototype builds, targeting on-time delivery. Familiarisation of existing team and business processes with a focus on driving continuous improvement. Management of the BOM across each project/prototype, ensuring accuracy and timely updates in parallel to concept design change. Identify operational challenges, driving effective solutions via clear communication and data-driven analytics. Required Skills: Proficiency in statistical analysis and data modelling to interpret complex datasets related to project management KPIs, vehicle BOMs and inventory management. Proficiency in various data visualisation and manipulation tools. Experience using SAP products is preferred. Experience within the automotive industry is preferred. I have interview slots ready to be filled so if this role is something you're qualified for and have the right to work in the UK please submit your CV so we can discuss further.
Senior Java Developer (Pricing and Risk) - Server Side/Spring/SDLC/DevOps/Maven/AWS - Permanent The role is for an experienced Server Side developer in the team responsible for pricing, risk and analytics solutions for credit derivative products. The risk platform facilitates margin calculations for both overnight and intraday collateral calls, the pricing of Credit Index Options and the external what-if simulation of margins by Members and Clients. The platforms are built upon a Java based architecture with an underlying C++ analytics library and leverage a range of supporting technologies. Server Side Java Developer from a strong technical background with Spring Boot experience. Demonstrable enterprise software engineering with an understanding of working in a secure compute and regulated environment. Aptitude for understanding requirements to changes in pricing, risk and market data stack and able to implement and test successfully. Good awareness of the design, development and SDLC considerations required for development of Financial Services market infrastructure applications. Passion for following DevOps and CI/CD processes to deliver high quality and well tested software using frameworks such as Jenkins/GitLab, Junit, Mockito, Cucumber etc. Knowledge of JMS and experience with ActiveMQ/IBM MQ Knowledge of modern source code management using git. Strong familiarity with Java development toolchains including Maven and IntelliJ. Preferred Skills Some exposure to C++ on Linux. Familiarity with Credit Derivative products Familiarity with AWS Cloud services like EC2, S3, Lambda, EKS. Deployment automation using tools such as Ansible; monitoring using enterprise tools eg DataDog. Experience of on/off-premises cloud solutions including the defining of infrastructure as code using Terraform. Permanent role - hybrid working - Central London based Candidate must be eligible to work in the UK By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
26/11/2024
Full time
Senior Java Developer (Pricing and Risk) - Server Side/Spring/SDLC/DevOps/Maven/AWS - Permanent The role is for an experienced Server Side developer in the team responsible for pricing, risk and analytics solutions for credit derivative products. The risk platform facilitates margin calculations for both overnight and intraday collateral calls, the pricing of Credit Index Options and the external what-if simulation of margins by Members and Clients. The platforms are built upon a Java based architecture with an underlying C++ analytics library and leverage a range of supporting technologies. Server Side Java Developer from a strong technical background with Spring Boot experience. Demonstrable enterprise software engineering with an understanding of working in a secure compute and regulated environment. Aptitude for understanding requirements to changes in pricing, risk and market data stack and able to implement and test successfully. Good awareness of the design, development and SDLC considerations required for development of Financial Services market infrastructure applications. Passion for following DevOps and CI/CD processes to deliver high quality and well tested software using frameworks such as Jenkins/GitLab, Junit, Mockito, Cucumber etc. Knowledge of JMS and experience with ActiveMQ/IBM MQ Knowledge of modern source code management using git. Strong familiarity with Java development toolchains including Maven and IntelliJ. Preferred Skills Some exposure to C++ on Linux. Familiarity with Credit Derivative products Familiarity with AWS Cloud services like EC2, S3, Lambda, EKS. Deployment automation using tools such as Ansible; monitoring using enterprise tools eg DataDog. Experience of on/off-premises cloud solutions including the defining of infrastructure as code using Terraform. Permanent role - hybrid working - Central London based Candidate must be eligible to work in the UK By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
infeurope is looking for a Senior Python Software Engineer Consultant with more than 8 years of experience and up to and including 10 years of experience. Start: 02/01/2025 End: 30/12/2025 Extension? Yes up to 3 extensions of 1 year each Location of Consultants: Combination of on-site and off-site. 40% on-site and 60% off-site. The client will inform the consultant when he/she is required on-site. SERVICES DESCRIPTION Analysis and design: Work with the client's subject matter experts to gather business requirements and any other relevant input. Perform analysis of existing processes and applications, and additional/new end user requirements. Design applications addressing these requirements. Database Development and Integration: Develop the database architecture and associated Python ETL data loading scripts, integrating the database with the client's IT infrastructure to streamline data storage and management. New Code Development: Develop new Python code for various projects and ensure integration with existing developments and systems, including ReST APIs, to maintain consistency and to facilitate future expansions. Version Control Management with Git: Maintain and enhance the existing Git-based version control framework, while applying it to all new development work. Testing: Write unit tests to fulfil the required code coverage quality gates, prepare and participate in system/integration tests and user acceptance tests. Analytics reporting Frontend: Support the team to create reporting solutions on top of the database and application layers. Documentation: Create comprehensive, business-friendly documentation for all developed code to ensure that our team members can understand and maintain the code effectively. Training and Support: Offer training and support to team members in advanced coding techniques, database development and integration, IT infrastructure management, and version control practices with Git. DESIRED CONSULTANT The Consultant will have the following profile: Technical skills: Bachelor's degree in information technology, Mathematics, Physics, or similar field, and/or equivalent professional experience (mandatory) for a senior profile. Minimum of 6 years' experience in software engineering with Python and SQL in a professional environment (mandatory). Minimum of 8 years' experience in software engineering with Python and SQL in a professional environment (mandatory) for an expert profile. Proficient in object-oriented programming, enabling the adequate application of software design patterns and the creation of modular, reusable, and maintainable code that adheres to modern programming paradigms (mandatory). Proficient in automated testing of Python code, eg, unit-test, pytest, behave (mandatory). Proficient in usage of the following Python libraries: NumPy, Pandas (mandatory). Proficient with: XML, JSON, YAML (mandatory). Proficient in the use of the Git version control systems (mandatory) Practical experience with data-mart development for business analytics (mandatory) Practical experience with data domain modelling, SQL database design and ETL pipeline development with Python (mandatory) Practical experience with SQL database development (mandatory) Practical experience with software development processes such as waterfall, Scrum, and/or DevOps (mandatory). Experience with continuous integration and continues delivery pipelines, eg, Jenkins, Azure Pipelines (desired). Experience with Scripting, eg, Shell Scripts, PowerShell, batch scripts (desired). Experience with Enterprise Data Warehouse development such as Kimball approach.(desired) Experience with specialized Python data management libraries, eg SQLAlchemy, DBT, Airflow/Luigi, Pandera (desired) Proficient knowledge of and experience with the following Python libraries: Plotly, Dash (desired). Experience with specialized reporting solutions such as PowerBI (desired). Good understanding of a cloud-based microservice architecture, eg with Azure (desired). Experience with documentation of business requirements and with technical writing (desired). Experience with MS Excel (desired). Soft skills: Excellent English communication and presentation skills, ensuring clear and concise communication with our team members and fostering a smooth and effective collaboration process.
26/11/2024
Project-based
infeurope is looking for a Senior Python Software Engineer Consultant with more than 8 years of experience and up to and including 10 years of experience. Start: 02/01/2025 End: 30/12/2025 Extension? Yes up to 3 extensions of 1 year each Location of Consultants: Combination of on-site and off-site. 40% on-site and 60% off-site. The client will inform the consultant when he/she is required on-site. SERVICES DESCRIPTION Analysis and design: Work with the client's subject matter experts to gather business requirements and any other relevant input. Perform analysis of existing processes and applications, and additional/new end user requirements. Design applications addressing these requirements. Database Development and Integration: Develop the database architecture and associated Python ETL data loading scripts, integrating the database with the client's IT infrastructure to streamline data storage and management. New Code Development: Develop new Python code for various projects and ensure integration with existing developments and systems, including ReST APIs, to maintain consistency and to facilitate future expansions. Version Control Management with Git: Maintain and enhance the existing Git-based version control framework, while applying it to all new development work. Testing: Write unit tests to fulfil the required code coverage quality gates, prepare and participate in system/integration tests and user acceptance tests. Analytics reporting Frontend: Support the team to create reporting solutions on top of the database and application layers. Documentation: Create comprehensive, business-friendly documentation for all developed code to ensure that our team members can understand and maintain the code effectively. Training and Support: Offer training and support to team members in advanced coding techniques, database development and integration, IT infrastructure management, and version control practices with Git. DESIRED CONSULTANT The Consultant will have the following profile: Technical skills: Bachelor's degree in information technology, Mathematics, Physics, or similar field, and/or equivalent professional experience (mandatory) for a senior profile. Minimum of 6 years' experience in software engineering with Python and SQL in a professional environment (mandatory). Minimum of 8 years' experience in software engineering with Python and SQL in a professional environment (mandatory) for an expert profile. Proficient in object-oriented programming, enabling the adequate application of software design patterns and the creation of modular, reusable, and maintainable code that adheres to modern programming paradigms (mandatory). Proficient in automated testing of Python code, eg, unit-test, pytest, behave (mandatory). Proficient in usage of the following Python libraries: NumPy, Pandas (mandatory). Proficient with: XML, JSON, YAML (mandatory). Proficient in the use of the Git version control systems (mandatory) Practical experience with data-mart development for business analytics (mandatory) Practical experience with data domain modelling, SQL database design and ETL pipeline development with Python (mandatory) Practical experience with SQL database development (mandatory) Practical experience with software development processes such as waterfall, Scrum, and/or DevOps (mandatory). Experience with continuous integration and continues delivery pipelines, eg, Jenkins, Azure Pipelines (desired). Experience with Scripting, eg, Shell Scripts, PowerShell, batch scripts (desired). Experience with Enterprise Data Warehouse development such as Kimball approach.(desired) Experience with specialized Python data management libraries, eg SQLAlchemy, DBT, Airflow/Luigi, Pandera (desired) Proficient knowledge of and experience with the following Python libraries: Plotly, Dash (desired). Experience with specialized reporting solutions such as PowerBI (desired). Good understanding of a cloud-based microservice architecture, eg with Azure (desired). Experience with documentation of business requirements and with technical writing (desired). Experience with MS Excel (desired). Soft skills: Excellent English communication and presentation skills, ensuring clear and concise communication with our team members and fostering a smooth and effective collaboration process.
Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You MUST have the following: Strong experience as a Python Data Engineer/Developer/Software Engineer/Programmer Excellent Python PySpark Excellent data engineering AWS, GCP or Azure Agile The following is DESIRABLE, not essential: Iceberg Airflow or Dagster Dremio or DBT Java Finance Role: Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You will join a team that has built a number of Front Office investments trading analytics applications and need to better align them to an existing AWS data lake and future data mesh architecture. The team are Java based and so you will bring Python and PySpark experience to contribute towards this initiative. They will also be looking at the use of tooling such as Iceberg, Airflow, Dagster, Dremio, DBT, Glue and Athena. These are not essential, only 'nice-to-have' technologies. This is also an excellent opportunity to enter into finance without any prior experience. As the department grows, there may also be the opportunity for more senior roles in the future. There is a very flexible working from home policy with people coming to the office 1-2 times/month. This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours are 9-5. Salary: £70k - £100k + 15% Bonus + 10% Pension
26/11/2024
Full time
Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You MUST have the following: Strong experience as a Python Data Engineer/Developer/Software Engineer/Programmer Excellent Python PySpark Excellent data engineering AWS, GCP or Azure Agile The following is DESIRABLE, not essential: Iceberg Airflow or Dagster Dremio or DBT Java Finance Role: Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You will join a team that has built a number of Front Office investments trading analytics applications and need to better align them to an existing AWS data lake and future data mesh architecture. The team are Java based and so you will bring Python and PySpark experience to contribute towards this initiative. They will also be looking at the use of tooling such as Iceberg, Airflow, Dagster, Dremio, DBT, Glue and Athena. These are not essential, only 'nice-to-have' technologies. This is also an excellent opportunity to enter into finance without any prior experience. As the department grows, there may also be the opportunity for more senior roles in the future. There is a very flexible working from home policy with people coming to the office 1-2 times/month. This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours are 9-5. Salary: £70k - £100k + 15% Bonus + 10% Pension
Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You MUST have the following: Strong experience as a Python Data Engineer/Developer/Software Engineer/Programmer Excellent Python PySpark Excellent data engineering AWS, GCP or Azure Agile The following is DESIRABLE, not essential: Iceberg Airflow or Dagster Dremio or DBT Java Finance Role: Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You will be working with two Front End development teams who are further building out a portfolio management system (PMS). So far, the system suite covers performance, risk, portfolio modelling and benchmark analysis. It is adopted almost entirely by the equity portfolio managers, to a good degree by Fixed Income portfolio managers and is looking to grow substantially in the multi-asset space. A significant part of your role over the next 12 months will be to promote and increase the adoption of the product within the multi-asset space, without compromising on it's identity as a multi-asset and unified platform. Further to this, you will also work on the product's integration with Fixed Income quantitative analysis and grow the risk analytics capability. You will work with one other product owner and two business analysts. The business analysts have the responsibility of building out existing requirements, whilst you and the other product owner with collaborate with adjacent technology teams and departments and the business to determine the roadmap for the application suite and the priority of deliverables. Buy-side experience is essential. You must also have worked with in-house development teams to deliver Front Office applications. You will have a good appreciation for investment management in Fixed Income or equities. Salary: £70k - £100k + 15% Bonus + 10% Pension
26/11/2024
Full time
Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You MUST have the following: Strong experience as a Python Data Engineer/Developer/Software Engineer/Programmer Excellent Python PySpark Excellent data engineering AWS, GCP or Azure Agile The following is DESIRABLE, not essential: Iceberg Airflow or Dagster Dremio or DBT Java Finance Role: Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You will be working with two Front End development teams who are further building out a portfolio management system (PMS). So far, the system suite covers performance, risk, portfolio modelling and benchmark analysis. It is adopted almost entirely by the equity portfolio managers, to a good degree by Fixed Income portfolio managers and is looking to grow substantially in the multi-asset space. A significant part of your role over the next 12 months will be to promote and increase the adoption of the product within the multi-asset space, without compromising on it's identity as a multi-asset and unified platform. Further to this, you will also work on the product's integration with Fixed Income quantitative analysis and grow the risk analytics capability. You will work with one other product owner and two business analysts. The business analysts have the responsibility of building out existing requirements, whilst you and the other product owner with collaborate with adjacent technology teams and departments and the business to determine the roadmap for the application suite and the priority of deliverables. Buy-side experience is essential. You must also have worked with in-house development teams to deliver Front Office applications. You will have a good appreciation for investment management in Fixed Income or equities. Salary: £70k - £100k + 15% Bonus + 10% Pension
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
26/11/2024
Full time
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
22/11/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
22/11/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
22/11/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
22/11/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious law firm is looking for an Intapp Application Engineer. This role will focus on support, configuration, and operational support of Intapp product suite including Walls, Time, Intake, Conflicts, etc. This engineer must have experience with SQL query, SQL server, and Azure. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Risk Applications technology departmental applications; in some specific cases, Level 2 support may be required. Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Coordinate and implement new components and upgrades to departmental applications. This includes coordination, integration and support of business applications and data. The position will be instrumental in systems upgrades and conversions and actively manage the relationship with various non-IT business departments. Adhere to the Firm's Security and Governance requirements across all administered applications. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Develop or enhance quality control reports and electronic monitoring to assure regulatory and data quality compliance. Collaborate with business users in designing and implementing analytics to help them interpret their data in order to make better business decisions. Write functional and technical specifications including application design changes and integrations for development. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Finance, Risk and Litigation Applications team. Qualifications & Requirements The Applications Engineer 2 must have a BA/BS in computer science, related field, or equivalent experience with 5+ years' experience of application support/configuration in a legal environment. Experience with SQL Query is required. Experience with Risk applications such as Intapp Product Suite (Intake, Conflicts, Terms, Workspaces, Walls, Time), File Retention and Disposition (iCompli), Court Docketing (CompuLaw, Court Alert) is required. Experience with Microsoft PowerShell Scripting is preferred Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments. Azure Jira ServiceNow
* Business Intelligence (Data Stage) Developer -Freelance contract.* One of our International Customers at RED is in the search of experienced BI (Data Stage) Developer for a freelance contract on a remote basis in Europe Role: Business Intelligence Developer - DataStage Industry: Pharmaceuticals Start Date: December 2024/January 2025 Duration: 12 Months (possibility of extension) Contract: Freelance (no permanent/no Visa/No sponsorship can be offered) Workload: Full Time (5 Days Per Week) Hybrid: Remote (no travel required) Language: English (Written and Spoken) Rate: Competitive rate (if based in UK - rate is Outside IR35) Overview: We are looking for a hard-working and organized BI developer to join the Global BI & Analytics unit. The employee will work a part of a strong development team and will participate in the development of new projects along with ongoing activities Requirements: BSc/BA in Computer Science, Industrial Engineering or a related field Minimum of 2 years of experience in developing with DataStage tool over Oracle or SQL server - mandatory High level of proficiency with SQL queries and stored procedures - mandatory Minimum of 2 years of experience in developing in the BI domain - mandatory Experience with Qlik Sense or Power BI tools- advantage Develop BI solutions using Databricks and Azure services - advantage Build ETL/ELT pipelines with Azure Data Factory for data integration - advantage If this is something that might interest you and would like to know more about this role, then please apply/email your updated CV, alongside a brief description to Adriana: (see below)
22/11/2024
Project-based
* Business Intelligence (Data Stage) Developer -Freelance contract.* One of our International Customers at RED is in the search of experienced BI (Data Stage) Developer for a freelance contract on a remote basis in Europe Role: Business Intelligence Developer - DataStage Industry: Pharmaceuticals Start Date: December 2024/January 2025 Duration: 12 Months (possibility of extension) Contract: Freelance (no permanent/no Visa/No sponsorship can be offered) Workload: Full Time (5 Days Per Week) Hybrid: Remote (no travel required) Language: English (Written and Spoken) Rate: Competitive rate (if based in UK - rate is Outside IR35) Overview: We are looking for a hard-working and organized BI developer to join the Global BI & Analytics unit. The employee will work a part of a strong development team and will participate in the development of new projects along with ongoing activities Requirements: BSc/BA in Computer Science, Industrial Engineering or a related field Minimum of 2 years of experience in developing with DataStage tool over Oracle or SQL server - mandatory High level of proficiency with SQL queries and stored procedures - mandatory Minimum of 2 years of experience in developing in the BI domain - mandatory Experience with Qlik Sense or Power BI tools- advantage Develop BI solutions using Databricks and Azure services - advantage Build ETL/ELT pipelines with Azure Data Factory for data integration - advantage If this is something that might interest you and would like to know more about this role, then please apply/email your updated CV, alongside a brief description to Adriana: (see below)
Job Title: Semantic Technologies Engineer My client a leader in their field are pioneers in the world of semantic technologies, helping businesses unlock the value of their data by building knowledge graphs, ontologies, and AI-powered solutions. Our mission is to enable smarter, data-driven decision-making through cutting-edge semantic engineering. My client are looking for a Semantic Technologies Engineer to join their dynamic team and help design, develop, and scale the systems that power our advanced knowledge-driven products. What You'll Do Develop Knowledge Graphs & Ontologies: Build and maintain semantic models to represent complex data relationships effectively. Engineer Semantic Solutions: Use Python and graph database technologies to design and implement scalable solutions for data integration, querying, and analytics. Optimize Semantic Systems: Enhance the performance of semantic queries and ensure efficiency for handling large-scale datasets. Collaborate Across Teams: Work closely with data scientists, AI specialists, and product developers to align semantic technologies with business needs. Drive Innovation: Stay ahead of trends in semantic web standards, graph databases, and AI-powered knowledge management to bring forward-thinking solutions to the team. What We're Looking For Proven Python Expertise: Strong experience in Python for data manipulation and semantic tools, with libraries like RDFLib, NetworkX, or Pandas. Graph Database Knowledge: Hands-on experience with Neo4j, GraphDB, or similar technologies, including writing and optimizing SPARQL queries. Ontology Management: Practical experience in developing ontologies using RDF, OWL, or SKOS. Semantic Web Standards: Solid understanding of W3C standards like RDF, OWL, and linked data principles. Engineering Skills: Strong foundation in algorithms, data structures, and software design principles. Bonus Skills (Nice to Have) Familiarity with RESTful API development and integration. Knowledge of ETL processes and transforming unstructured data into structured formats. Experience with machine learning frameworks or knowledge graph embeddings. Proficiency in Agile development and version control systems like Git. What's in It for You? Work on groundbreaking projects using semantic technologies and AI. Collaborate with a team of innovators in a supportive and forward-thinking environment. Enjoy flexibility, professional growth opportunities, and a positive work-life balance If you are a semantic technologies engineer looking for a new opportunity, please do get in touch ASAP for a confidential discussion.
22/11/2024
Full time
Job Title: Semantic Technologies Engineer My client a leader in their field are pioneers in the world of semantic technologies, helping businesses unlock the value of their data by building knowledge graphs, ontologies, and AI-powered solutions. Our mission is to enable smarter, data-driven decision-making through cutting-edge semantic engineering. My client are looking for a Semantic Technologies Engineer to join their dynamic team and help design, develop, and scale the systems that power our advanced knowledge-driven products. What You'll Do Develop Knowledge Graphs & Ontologies: Build and maintain semantic models to represent complex data relationships effectively. Engineer Semantic Solutions: Use Python and graph database technologies to design and implement scalable solutions for data integration, querying, and analytics. Optimize Semantic Systems: Enhance the performance of semantic queries and ensure efficiency for handling large-scale datasets. Collaborate Across Teams: Work closely with data scientists, AI specialists, and product developers to align semantic technologies with business needs. Drive Innovation: Stay ahead of trends in semantic web standards, graph databases, and AI-powered knowledge management to bring forward-thinking solutions to the team. What We're Looking For Proven Python Expertise: Strong experience in Python for data manipulation and semantic tools, with libraries like RDFLib, NetworkX, or Pandas. Graph Database Knowledge: Hands-on experience with Neo4j, GraphDB, or similar technologies, including writing and optimizing SPARQL queries. Ontology Management: Practical experience in developing ontologies using RDF, OWL, or SKOS. Semantic Web Standards: Solid understanding of W3C standards like RDF, OWL, and linked data principles. Engineering Skills: Strong foundation in algorithms, data structures, and software design principles. Bonus Skills (Nice to Have) Familiarity with RESTful API development and integration. Knowledge of ETL processes and transforming unstructured data into structured formats. Experience with machine learning frameworks or knowledge graph embeddings. Proficiency in Agile development and version control systems like Git. What's in It for You? Work on groundbreaking projects using semantic technologies and AI. Collaborate with a team of innovators in a supportive and forward-thinking environment. Enjoy flexibility, professional growth opportunities, and a positive work-life balance If you are a semantic technologies engineer looking for a new opportunity, please do get in touch ASAP for a confidential discussion.
Data Engineer Red Carpet is looking for a enthusiastic data engineer to join a CISO Data Engineering and BI bank environment. You will design solutions to fulfil business requirements by developing data pipeline and reports in a smart way. Responsibilities: The role requires strong knowledge and expertise in business intelligence, databases and technical aspects of BI tools to transform raw data into meaningful insights. Your responsibilities are: -Understand business requirements to set functional specifications for reporting -Analyze data in order to present it through actionable reports that will support in decision-making. -Create interactive dashboards and reports that provide actionable insights. -Using advanced SQL query language to support Dashboard development. -Using CI/CD pipeline to implement the solution. -Migrate to Azure and utilize PowerBI in Azure for data analysis and reporting. -Follow security & IT Risk journeys. -Supporting other team members whenever needed with your experience and knowledge. -Communicating with the stakeholders to analyze and understand the need and design the solution. Must Have: -Master's degree or equivalent by experience -You have at least 6+ years experience in IT projects following Agile methodology. -Build automated reports and dashboards with the help of PowerBI, Power Query, DAX. -Manage Azure components, including Key Vault, Gen2 storage and Azure AD Knowledge of programming language as Python or Powershell. -Be able to quickly shape data into reporting analytics solutions. -Awareness on Security & IT Risk aspects. Nice to Have: -Experience on CI/CD pipeline and relvant tools such as: Git, Microsoft Azure DevOps. -Understanding of data warehousing, data modelling techniques. -Experience a progressive and agile way of working, where new ideas are valued. -Abil;ity to communicate effectively and present/demo ideas and solutions. -Keen on documenting her/his work. -A team player who is sef-motivated and eager to learn. -Good written and spoken knowledge of English.
22/11/2024
Project-based
Data Engineer Red Carpet is looking for a enthusiastic data engineer to join a CISO Data Engineering and BI bank environment. You will design solutions to fulfil business requirements by developing data pipeline and reports in a smart way. Responsibilities: The role requires strong knowledge and expertise in business intelligence, databases and technical aspects of BI tools to transform raw data into meaningful insights. Your responsibilities are: -Understand business requirements to set functional specifications for reporting -Analyze data in order to present it through actionable reports that will support in decision-making. -Create interactive dashboards and reports that provide actionable insights. -Using advanced SQL query language to support Dashboard development. -Using CI/CD pipeline to implement the solution. -Migrate to Azure and utilize PowerBI in Azure for data analysis and reporting. -Follow security & IT Risk journeys. -Supporting other team members whenever needed with your experience and knowledge. -Communicating with the stakeholders to analyze and understand the need and design the solution. Must Have: -Master's degree or equivalent by experience -You have at least 6+ years experience in IT projects following Agile methodology. -Build automated reports and dashboards with the help of PowerBI, Power Query, DAX. -Manage Azure components, including Key Vault, Gen2 storage and Azure AD Knowledge of programming language as Python or Powershell. -Be able to quickly shape data into reporting analytics solutions. -Awareness on Security & IT Risk aspects. Nice to Have: -Experience on CI/CD pipeline and relvant tools such as: Git, Microsoft Azure DevOps. -Understanding of data warehousing, data modelling techniques. -Experience a progressive and agile way of working, where new ideas are valued. -Abil;ity to communicate effectively and present/demo ideas and solutions. -Keen on documenting her/his work. -A team player who is sef-motivated and eager to learn. -Good written and spoken knowledge of English.
Methods Analytics (MA) is recruiting for a MLOps Engineer to join our team within the Defence Business Unit on a permanent basis. Location: This role is hybrid, primarily remote, with flexibility required to travel to client sites and our offices in London, Sheffield, and Bristol. Requirements: You Will Demonstrate: Technical Proficiency in Python and ML Frameworks: Experience with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-Learn, enabling efficient deployment and management of ML models. Containerisation and Orchestration: Hands-on experience with containerisation and orchestration tools, such as Docker and Kubernetes, to ensure reliable, scalable model deployments. CI/CD Expertise: Proven experience developing and managing CI/CD pipelines using tools like Jenkins, Git, and Terraform, streamlining deployment and automating testing. Knowledge of Cloud and ML Infrastructure: Experience with cloud platforms (AWS, Azure, or GCP), infrastructure-as-code (IaC) practices, and managing cloud-based ML workflows and resources at scale. Experience with Threat Modelling and Vulnerability Management: Proven ability to conduct threat modelling exercises to identify security risks and implement vulnerability management practices to ensure robust and secure machine learning systems. Experience in Security and Compliance: Demonstrated experience working within secure, high-assurance environments, ideally including defence or similarly regulated settings. Cross-Functional Collaboration Skills: Ability to collaborate across teams to translate business requirements into technical specifications, maintaining clear and effective communication. Strong Troubleshooting Abilities: Proficient in diagnosing and resolving model and infrastructure-related issues, identifying root causes, and implementing corrective actions. You may also have some of the desirable skills and experience: Experience with MLOps Tools and Version Control: Familiarity with tools such as MLflow, DVC, Seldon Core, Metaflow, and Airflow or Prefect, and version control practices for models and datasets to ensure reproducibility, traceability, and compliance across ML workflows. Scalability and Optimisation in Production Environments: Experience managing high-performance, low-latency data systems and optimising ML model infrastructure to handle large-scale data in production. Understanding of Agile Development Methodologies: Familiarity with iterative and agile development methodologies such as SCRUM, contributing to a flexible and responsive development environment. Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML. Please note: This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview
22/11/2024
Full time
Methods Analytics (MA) is recruiting for a MLOps Engineer to join our team within the Defence Business Unit on a permanent basis. Location: This role is hybrid, primarily remote, with flexibility required to travel to client sites and our offices in London, Sheffield, and Bristol. Requirements: You Will Demonstrate: Technical Proficiency in Python and ML Frameworks: Experience with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-Learn, enabling efficient deployment and management of ML models. Containerisation and Orchestration: Hands-on experience with containerisation and orchestration tools, such as Docker and Kubernetes, to ensure reliable, scalable model deployments. CI/CD Expertise: Proven experience developing and managing CI/CD pipelines using tools like Jenkins, Git, and Terraform, streamlining deployment and automating testing. Knowledge of Cloud and ML Infrastructure: Experience with cloud platforms (AWS, Azure, or GCP), infrastructure-as-code (IaC) practices, and managing cloud-based ML workflows and resources at scale. Experience with Threat Modelling and Vulnerability Management: Proven ability to conduct threat modelling exercises to identify security risks and implement vulnerability management practices to ensure robust and secure machine learning systems. Experience in Security and Compliance: Demonstrated experience working within secure, high-assurance environments, ideally including defence or similarly regulated settings. Cross-Functional Collaboration Skills: Ability to collaborate across teams to translate business requirements into technical specifications, maintaining clear and effective communication. Strong Troubleshooting Abilities: Proficient in diagnosing and resolving model and infrastructure-related issues, identifying root causes, and implementing corrective actions. You may also have some of the desirable skills and experience: Experience with MLOps Tools and Version Control: Familiarity with tools such as MLflow, DVC, Seldon Core, Metaflow, and Airflow or Prefect, and version control practices for models and datasets to ensure reproducibility, traceability, and compliance across ML workflows. Scalability and Optimisation in Production Environments: Experience managing high-performance, low-latency data systems and optimising ML model infrastructure to handle large-scale data in production. Understanding of Agile Development Methodologies: Familiarity with iterative and agile development methodologies such as SCRUM, contributing to a flexible and responsive development environment. Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML. Please note: This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview
Technical Lead - Global Data Platform We are seeking a Technical Lead to join a global team driving data and analytics solutions within a cutting-edge cloud environment. This is a leadership role where you will manage a diverse group of full-stack data engineers, oversee solution development, and act as the key technical point of contact for stakeholders. About the Role As a Technical Lead, you will: Provide technical leadership and oversee delivery in a global AWS-based data platform. Work closely with a distributed team spanning Mexico, Spain, India, and the UK. Contribute to the full software development life cycle, from design to hypercare. Collaborate with senior stakeholders to manage expectations and report progress. Foster an environment of innovation, agile delivery, and best practices. Key Responsibilities Lead the development of scalable cloud solutions, such as containerised ETL and automated testing processes. Manage global teams, ensuring successful delivery and efficient workflows. Build strong relationships with business stakeholders to align technical solutions with business goals. Drive technical excellence by designing and documenting best practices. Essential Skills & Experience Proficiency in big data, ETL, and cloud tools, particularly AWS (eg, Python, Terraform, Glue, S3, SQS). Experience leading global teams and managing team-related tasks. Strong expertise in DevOps practices and tools. Analytical ability for data manipulation and problem-solving. Effective communication and interpersonal skills. Proven experience in technical leadership within data and analytics. Desirable Skills Familiarity with Agile practices and tools like Jira. Experience with Angular JS, Java, Oracle, and PostgreSQL. Knowledge of Snowflake, DBT, Redshift, Aurora, and Power BI. The Opportunity This is a chance to lead impactful projects within a collaborative and dynamic environment, working on innovative solutions that make a real difference. Equal Opportunity We are an equal opportunity employer, welcoming applications from all backgrounds and ensuring that all candidates are considered without discrimination based on protected characteristics. Apply today to become a key contributor to a global team shaping the future of data and analytics!
20/11/2024
Full time
Technical Lead - Global Data Platform We are seeking a Technical Lead to join a global team driving data and analytics solutions within a cutting-edge cloud environment. This is a leadership role where you will manage a diverse group of full-stack data engineers, oversee solution development, and act as the key technical point of contact for stakeholders. About the Role As a Technical Lead, you will: Provide technical leadership and oversee delivery in a global AWS-based data platform. Work closely with a distributed team spanning Mexico, Spain, India, and the UK. Contribute to the full software development life cycle, from design to hypercare. Collaborate with senior stakeholders to manage expectations and report progress. Foster an environment of innovation, agile delivery, and best practices. Key Responsibilities Lead the development of scalable cloud solutions, such as containerised ETL and automated testing processes. Manage global teams, ensuring successful delivery and efficient workflows. Build strong relationships with business stakeholders to align technical solutions with business goals. Drive technical excellence by designing and documenting best practices. Essential Skills & Experience Proficiency in big data, ETL, and cloud tools, particularly AWS (eg, Python, Terraform, Glue, S3, SQS). Experience leading global teams and managing team-related tasks. Strong expertise in DevOps practices and tools. Analytical ability for data manipulation and problem-solving. Effective communication and interpersonal skills. Proven experience in technical leadership within data and analytics. Desirable Skills Familiarity with Agile practices and tools like Jira. Experience with Angular JS, Java, Oracle, and PostgreSQL. Knowledge of Snowflake, DBT, Redshift, Aurora, and Power BI. The Opportunity This is a chance to lead impactful projects within a collaborative and dynamic environment, working on innovative solutions that make a real difference. Equal Opportunity We are an equal opportunity employer, welcoming applications from all backgrounds and ensuring that all candidates are considered without discrimination based on protected characteristics. Apply today to become a key contributor to a global team shaping the future of data and analytics!
My Client are looking for a lead machine learning engineer, someone who had experience leading a team working a lot with AI and machine learning. The job is very remote with a couple of days a month visit to the office in London, it is paying a great salary with a bonus and package on top., What's the job Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results Be a champion and role model for the application of data science across the group Support the data leadership team in developing a data culture and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) brand for both internal and external audiences What you'll bring Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) Excellent understanding of classical Machine Learning algorithms (eg Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (eg BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills If this looks of interest then please send your CV now and call for more information. This is a fantastic company paying a good base salary + bonus + package.
20/11/2024
Full time
My Client are looking for a lead machine learning engineer, someone who had experience leading a team working a lot with AI and machine learning. The job is very remote with a couple of days a month visit to the office in London, it is paying a great salary with a bonus and package on top., What's the job Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results Be a champion and role model for the application of data science across the group Support the data leadership team in developing a data culture and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) brand for both internal and external audiences What you'll bring Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) Excellent understanding of classical Machine Learning algorithms (eg Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (eg BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills If this looks of interest then please send your CV now and call for more information. This is a fantastic company paying a good base salary + bonus + package.
Role Title: Securities Senior Consultant Duration: contract to run until end of 2024 Location: London, hybrid 2-3 days per week About the role Our client is looking for a Senior Consultant with 3-7 years of experience in Securities Operations and Technology change. The role will entail working closely with our clients to enhance their front-to-back securities processes, systems, and controls; optimise how they leverage market infrastructure solutions and address regulatory requirements and market change, such as CSDR, UST Clearing and accelerated settlement. You will be providing consulting, business analysis and project management services to clients, supported by early career analysts and leveraging experienced industry subject matter experts ("SMEs"). It will also involve contributing to the continued growth of the business and development of our Practice. The role requires knowledge across the securities life cycle from trade execution to settlement and understanding of the associated operating model, processes, systems, controls, infrastructure and typical challenges. Experience of project management and/or business analysis of securities change initiatives is also critical. What you'll do Delivery - Support client engagements Support the delivery of client projects, actively contributing to projects/solutions as required Engage with the client, as necessary, during the solution development and proposal finalisation periods Be able to communicate issues, problems, and concerns faced by clients, and their solutions, in a manner that is representative of Capgemini as a thought-leading consultancy Recognise requirement to escalate any relevant risks or concerns related to the implementation of a client proposal for timely resolution, and take action as necessary New Business Development - Support marketing and business development efforts Assist the sales team by crafting, developing and advising on solution approaches for Practice campaigns and/or campaigns that require Practice expertise and input Contribute to the Practice sales campaign pipeline in relation to upcoming regulatory and market driven change Assist with Horizon scanning, contributing to identification of firm wide opportunities (the campaign pipeline) Partnership & Teamwork - Contribute to the development of the Practice and the company Work collaboratively with other staff members to ensure consistent and effective use of internal capabilities, and support cross-Practice cooperation and education Participating in internal efforts around continuous learning, personal and professional development and team building, including knowledge sharing and mentoring Development and oversight of more junior team members and any direct reports Support company growth by building and maintaining a strong professional network, including developing and maintaining relationships with clients and partners alike Contribute to thought leadership around campaigns targeted at areas within the Practice Identifying and supporting internal initiatives in order to drive success About you Experience Either financial services consulting or change experience within a financial services organisation (eg investment bank, asset manager, market infrastructure or service provider) Knowledge of several of the following topics: Project management (waterfall and agile) Business analysis Trade and transaction reporting Regulatory change Operations transformation Process reengineering Technology transformation Data and analytics Controls Good understanding of capital markets, related trends and regulatory landscape Detailed knowledge of at least one asset class or functional area Skills Strong consulting skills: High quality verbal and written communication Critical thinking, innovation and problem solving Effective stakeholder management and influencing (internal and client facing) Effective team working, collaboration and maintaining an inclusive culture Demonstrated resilience under pressure, ability to deal with ambiguity and adaptability to change Self-starter, able to work and deliver autonomously and demonstrate initiative, whilst maintaining openness to direction Desire for continuous learning and growth mindset Capable with Microsoft tools (Powerpoint, Word and Excel)
20/11/2024
Project-based
Role Title: Securities Senior Consultant Duration: contract to run until end of 2024 Location: London, hybrid 2-3 days per week About the role Our client is looking for a Senior Consultant with 3-7 years of experience in Securities Operations and Technology change. The role will entail working closely with our clients to enhance their front-to-back securities processes, systems, and controls; optimise how they leverage market infrastructure solutions and address regulatory requirements and market change, such as CSDR, UST Clearing and accelerated settlement. You will be providing consulting, business analysis and project management services to clients, supported by early career analysts and leveraging experienced industry subject matter experts ("SMEs"). It will also involve contributing to the continued growth of the business and development of our Practice. The role requires knowledge across the securities life cycle from trade execution to settlement and understanding of the associated operating model, processes, systems, controls, infrastructure and typical challenges. Experience of project management and/or business analysis of securities change initiatives is also critical. What you'll do Delivery - Support client engagements Support the delivery of client projects, actively contributing to projects/solutions as required Engage with the client, as necessary, during the solution development and proposal finalisation periods Be able to communicate issues, problems, and concerns faced by clients, and their solutions, in a manner that is representative of Capgemini as a thought-leading consultancy Recognise requirement to escalate any relevant risks or concerns related to the implementation of a client proposal for timely resolution, and take action as necessary New Business Development - Support marketing and business development efforts Assist the sales team by crafting, developing and advising on solution approaches for Practice campaigns and/or campaigns that require Practice expertise and input Contribute to the Practice sales campaign pipeline in relation to upcoming regulatory and market driven change Assist with Horizon scanning, contributing to identification of firm wide opportunities (the campaign pipeline) Partnership & Teamwork - Contribute to the development of the Practice and the company Work collaboratively with other staff members to ensure consistent and effective use of internal capabilities, and support cross-Practice cooperation and education Participating in internal efforts around continuous learning, personal and professional development and team building, including knowledge sharing and mentoring Development and oversight of more junior team members and any direct reports Support company growth by building and maintaining a strong professional network, including developing and maintaining relationships with clients and partners alike Contribute to thought leadership around campaigns targeted at areas within the Practice Identifying and supporting internal initiatives in order to drive success About you Experience Either financial services consulting or change experience within a financial services organisation (eg investment bank, asset manager, market infrastructure or service provider) Knowledge of several of the following topics: Project management (waterfall and agile) Business analysis Trade and transaction reporting Regulatory change Operations transformation Process reengineering Technology transformation Data and analytics Controls Good understanding of capital markets, related trends and regulatory landscape Detailed knowledge of at least one asset class or functional area Skills Strong consulting skills: High quality verbal and written communication Critical thinking, innovation and problem solving Effective stakeholder management and influencing (internal and client facing) Effective team working, collaboration and maintaining an inclusive culture Demonstrated resilience under pressure, ability to deal with ambiguity and adaptability to change Self-starter, able to work and deliver autonomously and demonstrate initiative, whilst maintaining openness to direction Desire for continuous learning and growth mindset Capable with Microsoft tools (Powerpoint, Word and Excel)
