Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to PhD level, or at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. Any sports trading experience would be beneficial. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: Ideally a PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University or equivalent Proficient in several of the following: Python, C#, C++ Mathematical and statistical Modelling Excellent Mathematical skills Analytic mindset Specific sports trading knowledge is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (see below) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
16/01/2025
Full time
Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to PhD level, or at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. Any sports trading experience would be beneficial. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: Ideally a PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University or equivalent Proficient in several of the following: Python, C#, C++ Mathematical and statistical Modelling Excellent Mathematical skills Analytic mindset Specific sports trading knowledge is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (see below) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Strategic Sourcing Data Analytics Analyst. Candidate will play a crucial role in developing quantitative methods to govern the procurement process. This includes designing a scorecard for the Strategic Sourcing function, creating and maintaining reports for managing procurement activities, and designing processes for intake and resource allocation. This role offers extensive collaboration opportunities with cross-functional teams. By working closely with Strategic Sourcing, IT, Finance, Legal, PMO, Data Governance and Operations, you can represent the department across the company and drive data-driven decision-making for Strategic Sourcing. Responsibilities: Implement processes to collect, manage and analyze procurement data, ensuring the organization has the necessary infrastructure for effective data-driven decision making. Oversee KPIs and metrics that measure performance of the Strategic Sourcing function. Prepare regular reports for internal and external stakeholders. Generate and communicate regular performance and resource allocation reports that translate procurement process data into actionable insights for internal teams and external stakeholders. Represent the Strategic Sourcing function by thoroughly assessing and validating all new intake requests, incorporating feedback from diverse stakeholders and customers. Exercise strong judgment to determine the most suitable approach for each project and engage the necessary stakeholders for productive discussions. Maintain a deep understanding of the department scope and sourcing strategies to navigate ambiguous situations/requests and collaborate with the appropriate stakeholders to solve challenges. Integrate data and resulting insights into procurement processes: Collaborate with procurement team and IT to embed analytics tools into the procurement workflow (such as for spend analysis and forecasting, savings analysis, supplier information gathering and analysis for selection, pricing and contract analytics, benchmarking, compliance to sourcing strategies and bid analysis). Develop and delivertraining programs to empower procurement and cross-functional teams with the skills and knowledge needed to effectively utilize reports and tools, promoting a culture of data-driven decision-making. Liaise with IT on requirements and testing for dashboards and reports in various systems including Oracle, ServiceNow, Archer, Apptio, Power BI, Tableau and others Qualifications: . Strong understanding of business analytics with ample experience in procurement, IT contracts, and/or PMO. Knowledge of the sources of data that support the development and execution of sourcing strategies. Process analysis and improvement experience, with the ability to define and reinforce processes. Proven ability to collaborate and problem-solve effectively with cross-functional teams by developing partnerships with teams such as Strategic Sourcing, Legal, Finance, IT, Operations to understand, influence and obtain support to achieve objectives. Project management skills to manage data analytics projects that require frequent communication, organization and time management. Successful track record in discerning when and how to escalate and issue for resolution. Excellent communication and presentation skills with the ability to convey complex data findings and data-driven solutions to both technical and nontechnical stakeholders, the capability to create compelling presentations and reports, and to lead meetings. Attention to detail to ensure accuracy and completeness in reporting. Familiarity with relevant regulatory and industry requirements. Other functional experience particularly in IT, business strategy, business analysis or finance is an advantage 3+ years' experience using an ERP system, using data visualization tools, and administering Sharepoint sites. Familiarity with analytics capabilities built into procurement-specific software, such as Oracle Fusion. Prefer experience in one or more of the following: ServiceNow, Archer, Apptio, Power BI, and/or Tableau. Advanced knowledge of Microsoft Office products and applications (Excel, PowerPoint, Word, Visio, etc.) [Preferred] Procurement or Sourcing Professional Certification or in Data Analytics 3+ years preferred experience in procurement roles involving strategic sourcing, procure-to-pay, supplier performance measurement, or in supply chain management roles. 3+ years of experience working cross functionally with tech and non-tech teams 2+ years preferred in project management office, and/or developing, implementing, and evaluating new and revised methods, procedures, and performance standards. 3+ years preferred experience in the financial services industry. Bachelor's degree in business management, supply chain, data science, information technology or a related field, ORan equivalent combination of experience, skills, training and education. Optional: Certifications in data science, business analytics, or supply chain are beneficial.
16/01/2025
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Strategic Sourcing Data Analytics Analyst. Candidate will play a crucial role in developing quantitative methods to govern the procurement process. This includes designing a scorecard for the Strategic Sourcing function, creating and maintaining reports for managing procurement activities, and designing processes for intake and resource allocation. This role offers extensive collaboration opportunities with cross-functional teams. By working closely with Strategic Sourcing, IT, Finance, Legal, PMO, Data Governance and Operations, you can represent the department across the company and drive data-driven decision-making for Strategic Sourcing. Responsibilities: Implement processes to collect, manage and analyze procurement data, ensuring the organization has the necessary infrastructure for effective data-driven decision making. Oversee KPIs and metrics that measure performance of the Strategic Sourcing function. Prepare regular reports for internal and external stakeholders. Generate and communicate regular performance and resource allocation reports that translate procurement process data into actionable insights for internal teams and external stakeholders. Represent the Strategic Sourcing function by thoroughly assessing and validating all new intake requests, incorporating feedback from diverse stakeholders and customers. Exercise strong judgment to determine the most suitable approach for each project and engage the necessary stakeholders for productive discussions. Maintain a deep understanding of the department scope and sourcing strategies to navigate ambiguous situations/requests and collaborate with the appropriate stakeholders to solve challenges. Integrate data and resulting insights into procurement processes: Collaborate with procurement team and IT to embed analytics tools into the procurement workflow (such as for spend analysis and forecasting, savings analysis, supplier information gathering and analysis for selection, pricing and contract analytics, benchmarking, compliance to sourcing strategies and bid analysis). Develop and delivertraining programs to empower procurement and cross-functional teams with the skills and knowledge needed to effectively utilize reports and tools, promoting a culture of data-driven decision-making. Liaise with IT on requirements and testing for dashboards and reports in various systems including Oracle, ServiceNow, Archer, Apptio, Power BI, Tableau and others Qualifications: . Strong understanding of business analytics with ample experience in procurement, IT contracts, and/or PMO. Knowledge of the sources of data that support the development and execution of sourcing strategies. Process analysis and improvement experience, with the ability to define and reinforce processes. Proven ability to collaborate and problem-solve effectively with cross-functional teams by developing partnerships with teams such as Strategic Sourcing, Legal, Finance, IT, Operations to understand, influence and obtain support to achieve objectives. Project management skills to manage data analytics projects that require frequent communication, organization and time management. Successful track record in discerning when and how to escalate and issue for resolution. Excellent communication and presentation skills with the ability to convey complex data findings and data-driven solutions to both technical and nontechnical stakeholders, the capability to create compelling presentations and reports, and to lead meetings. Attention to detail to ensure accuracy and completeness in reporting. Familiarity with relevant regulatory and industry requirements. Other functional experience particularly in IT, business strategy, business analysis or finance is an advantage 3+ years' experience using an ERP system, using data visualization tools, and administering Sharepoint sites. Familiarity with analytics capabilities built into procurement-specific software, such as Oracle Fusion. Prefer experience in one or more of the following: ServiceNow, Archer, Apptio, Power BI, and/or Tableau. Advanced knowledge of Microsoft Office products and applications (Excel, PowerPoint, Word, Visio, etc.) [Preferred] Procurement or Sourcing Professional Certification or in Data Analytics 3+ years preferred experience in procurement roles involving strategic sourcing, procure-to-pay, supplier performance measurement, or in supply chain management roles. 3+ years of experience working cross functionally with tech and non-tech teams 2+ years preferred in project management office, and/or developing, implementing, and evaluating new and revised methods, procedures, and performance standards. 3+ years preferred experience in the financial services industry. Bachelor's degree in business management, supply chain, data science, information technology or a related field, ORan equivalent combination of experience, skills, training and education. Optional: Certifications in data science, business analytics, or supply chain are beneficial.
Mercator Digital is an award-winning digital consultancy, ranked at number four among the Best Medium Sized Workplaces in the UK and recognised as one of Europe's top 100 Best Workplaces. We re also celebrated for our commitment to employee wellbeing, professional development, diversity and excellence in tech. This is an exciting time to join Mercator Digital. We re growing fast opening new offices, expanding our teams, and creating new opportunities for development. We re proud of our culture one that's lively, inclusive, and forward-thinking. As we grow, preserving our culture remains a priority. That's why we have an annual survey for feedback, an open-door policy for communication, plenty of social events to foster connections, and a benefits package to show our appreciation. Knowledge/experience You will need: Proven experience of a range of usability testing methodologies to reveal actionable customer insights and gather user needs for web-based services Proven experience of creating research strategies/approaches Proven experience of managing, executing and analysing usability test sessions, and facilitating workshops Excellent analytical and problem solving skills, and the ability to quickly develop recommendations based on quantitative and qualitative evidence Proven ability to explain user needs to decision makers and act as a persuasive advocate for those needs Extensive knowledge of human factors, ethnography, and the user-centred design process for products and services in an iterative development environment Demonstrable knowledge, experience in, and passion for user centred design practices Proven experience of audience modelling and developing design personas Experience across web content, tools and transactional services, especially those with complex user journeys (involving development of a logical sequence of steps to complete transactions) Ability to work with data, from gathering and analysis through to design and presentation Ability to mentor other User Researcher(s) Excellent interpersonal skills and the ability to quickly develop strong working relationships in high pressure environments Experience of working in an agile development environment with Designers, Business Analysts and Developers to create new digital products and services Experience of identifying the needs of users with accessibility requirements *Applicants must have the right to work in the UK and the ability to pass BPSS vetting
15/01/2025
Full time
Mercator Digital is an award-winning digital consultancy, ranked at number four among the Best Medium Sized Workplaces in the UK and recognised as one of Europe's top 100 Best Workplaces. We re also celebrated for our commitment to employee wellbeing, professional development, diversity and excellence in tech. This is an exciting time to join Mercator Digital. We re growing fast opening new offices, expanding our teams, and creating new opportunities for development. We re proud of our culture one that's lively, inclusive, and forward-thinking. As we grow, preserving our culture remains a priority. That's why we have an annual survey for feedback, an open-door policy for communication, plenty of social events to foster connections, and a benefits package to show our appreciation. Knowledge/experience You will need: Proven experience of a range of usability testing methodologies to reveal actionable customer insights and gather user needs for web-based services Proven experience of creating research strategies/approaches Proven experience of managing, executing and analysing usability test sessions, and facilitating workshops Excellent analytical and problem solving skills, and the ability to quickly develop recommendations based on quantitative and qualitative evidence Proven ability to explain user needs to decision makers and act as a persuasive advocate for those needs Extensive knowledge of human factors, ethnography, and the user-centred design process for products and services in an iterative development environment Demonstrable knowledge, experience in, and passion for user centred design practices Proven experience of audience modelling and developing design personas Experience across web content, tools and transactional services, especially those with complex user journeys (involving development of a logical sequence of steps to complete transactions) Ability to work with data, from gathering and analysis through to design and presentation Ability to mentor other User Researcher(s) Excellent interpersonal skills and the ability to quickly develop strong working relationships in high pressure environments Experience of working in an agile development environment with Designers, Business Analysts and Developers to create new digital products and services Experience of identifying the needs of users with accessibility requirements *Applicants must have the right to work in the UK and the ability to pass BPSS vetting
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
13/01/2025
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
Starting date: ASAP Contract Duration: 1 year (possibility to extend) Location: London, UK Working model: Hybrid Company: World's biggest Investment Bank Paid holidays and national insurance plus benefits! The Key Responsibilities As a senior developer, you'll drive our platform forward and deliver quality solutions to business-critical customer requirements. You will collaborate in a dynamic global team based in London with fellow technologists, business analysts, project managers, and business stakeholders across multiple locations. Key Attributes An excellent Haskell developer with good software design principles and the ability to write robust code and accompanying test suites We are willing to consider proficiency in other functional languages like OCaml or Scala, but knowledge of Haskell is a plus. Ability to write efficient, clear code and be able to articulate what has been implemented and why Self-starter who can drive/facilitate requirements and development effort Take ownership and responsibility for the full development life cycle Experience working in an agile development environment A team player, capable of engaging with other teams Knowledge and experience of financial markets systems is a plus Technical skills: Demonstrable experience with software development using functional programming languages, preferably Haskell Experience in industry delivering software solutions, preferably using functional programming languages. Strong analytical thinking and problem-solving skills Ability to learn new theories and skills quickly Experience with using Linux environments Experience with developing Server Side software Willingness to learn about Financial Markets and derivative products Willingness to learn about Cloud computing Functional skills: Financial Market domain knowledge Investment banking is a strong plus Derivatives knowledge is a plus e-trading technology experience is a plus Soft skills: Fluent in English Strong ownership and ability to deal with ambiguity Outstanding problem-solving skills Proactive, self-starter, autonomous Good team spirit
13/01/2025
Project-based
Starting date: ASAP Contract Duration: 1 year (possibility to extend) Location: London, UK Working model: Hybrid Company: World's biggest Investment Bank Paid holidays and national insurance plus benefits! The Key Responsibilities As a senior developer, you'll drive our platform forward and deliver quality solutions to business-critical customer requirements. You will collaborate in a dynamic global team based in London with fellow technologists, business analysts, project managers, and business stakeholders across multiple locations. Key Attributes An excellent Haskell developer with good software design principles and the ability to write robust code and accompanying test suites We are willing to consider proficiency in other functional languages like OCaml or Scala, but knowledge of Haskell is a plus. Ability to write efficient, clear code and be able to articulate what has been implemented and why Self-starter who can drive/facilitate requirements and development effort Take ownership and responsibility for the full development life cycle Experience working in an agile development environment A team player, capable of engaging with other teams Knowledge and experience of financial markets systems is a plus Technical skills: Demonstrable experience with software development using functional programming languages, preferably Haskell Experience in industry delivering software solutions, preferably using functional programming languages. Strong analytical thinking and problem-solving skills Ability to learn new theories and skills quickly Experience with using Linux environments Experience with developing Server Side software Willingness to learn about Financial Markets and derivative products Willingness to learn about Cloud computing Functional skills: Financial Market domain knowledge Investment banking is a strong plus Derivatives knowledge is a plus e-trading technology experience is a plus Soft skills: Fluent in English Strong ownership and ability to deal with ambiguity Outstanding problem-solving skills Proactive, self-starter, autonomous Good team spirit
We're seeking a dynamic, forward-thinking? Senior Performance Analyst with excellent communication skills. You will be open-minded, happy to work on your own or as part of a team and want to learn new technologies and promote best practice. As a Performance Analyst you will: Understand product owners' needs to translate business requirements into analytics requirements and ensure that priorities are met. Create visualisation of data, conduct deep-dive analysis and share insights & recommendations. Ensure data collection and standardisation is met and explain methodologies to stakeholders. Communicating efficiently and work together within a multi-disciplinary team, fostering the open and collaborative culture. Enable data driven decision making to personalize the journeys of individuals to ensure they have the best and most appropriate experience. Produce product performance dashboards, user segmentation analysis, media agency tagging implementation Produce program dashboards and weekly analysis/information updates Knowledge/experience You will need: Google Cloud Platform. Experience setting up and iterating: Google Cloud Platform Projects & IAM permissions Google Storage buckets and folders Google Dataprep flows, recipes and outputs as ETL pipeline to provide datasets for analysis and feed into dashboards. Experience working as a Digital Analyst using Google 360 Enterprise Analytics: Google Tag Manager containers and tags, triggers and variable to feed user behaviour and marketing activity tracking data into Google Analytics Properties. Google Analytics properties and views to provide user behaviour goals and funnels to enable product iteration Google Data Studio dashboards (with SQL, Google Sheets and Google Analytics sources) to share information with a broad range of stakeholders A proven track record of web analytics reporting, building dashboards & ad-hoc analysis. Experience in Social Media analytics (reporting, building dashboards & analysis) Experience in identifying and personalization of user journeys derived from quantitative analytics. Experience in Agile development environment (Scrum/Kanban). Azure SQL Database and Azure Cosmos Database experience Use of collaboration tools such as Jira and Confluence, Github and Trello. Excellent interpersonal, written and verbal communication skills and can present complex information persuasively and inclusively to a wide range of audience Understanding of the Azure Platform-as-a-Service (PaaS) cloud offering Reading, writing, and querying data in JSON format Desired skills Implementing appropriate Machine Learning models, including selection and optimisation for automated outputs (and understanding model accuracy, limitations, biases, and ethics) SQL Management Studio for working with SQL code, Visual Studio, as appropriate to data related enterprise tooling tasks, Power BI for advanced data visualisation, Excel, including power query, pivot tables, and pivot charts Proven ability working to Government Digital Service Standards and documenting the necessary evidence to pass a GDS assessment. Previous Public Sector Experience Agile/Scrum certified Google Tag Manager *Applicants must have the right to work in the UK and the ability to pass BPSS vetting
10/01/2025
Full time
We're seeking a dynamic, forward-thinking? Senior Performance Analyst with excellent communication skills. You will be open-minded, happy to work on your own or as part of a team and want to learn new technologies and promote best practice. As a Performance Analyst you will: Understand product owners' needs to translate business requirements into analytics requirements and ensure that priorities are met. Create visualisation of data, conduct deep-dive analysis and share insights & recommendations. Ensure data collection and standardisation is met and explain methodologies to stakeholders. Communicating efficiently and work together within a multi-disciplinary team, fostering the open and collaborative culture. Enable data driven decision making to personalize the journeys of individuals to ensure they have the best and most appropriate experience. Produce product performance dashboards, user segmentation analysis, media agency tagging implementation Produce program dashboards and weekly analysis/information updates Knowledge/experience You will need: Google Cloud Platform. Experience setting up and iterating: Google Cloud Platform Projects & IAM permissions Google Storage buckets and folders Google Dataprep flows, recipes and outputs as ETL pipeline to provide datasets for analysis and feed into dashboards. Experience working as a Digital Analyst using Google 360 Enterprise Analytics: Google Tag Manager containers and tags, triggers and variable to feed user behaviour and marketing activity tracking data into Google Analytics Properties. Google Analytics properties and views to provide user behaviour goals and funnels to enable product iteration Google Data Studio dashboards (with SQL, Google Sheets and Google Analytics sources) to share information with a broad range of stakeholders A proven track record of web analytics reporting, building dashboards & ad-hoc analysis. Experience in Social Media analytics (reporting, building dashboards & analysis) Experience in identifying and personalization of user journeys derived from quantitative analytics. Experience in Agile development environment (Scrum/Kanban). Azure SQL Database and Azure Cosmos Database experience Use of collaboration tools such as Jira and Confluence, Github and Trello. Excellent interpersonal, written and verbal communication skills and can present complex information persuasively and inclusively to a wide range of audience Understanding of the Azure Platform-as-a-Service (PaaS) cloud offering Reading, writing, and querying data in JSON format Desired skills Implementing appropriate Machine Learning models, including selection and optimisation for automated outputs (and understanding model accuracy, limitations, biases, and ethics) SQL Management Studio for working with SQL code, Visual Studio, as appropriate to data related enterprise tooling tasks, Power BI for advanced data visualisation, Excel, including power query, pivot tables, and pivot charts Proven ability working to Government Digital Service Standards and documenting the necessary evidence to pass a GDS assessment. Previous Public Sector Experience Agile/Scrum certified Google Tag Manager *Applicants must have the right to work in the UK and the ability to pass BPSS vetting
Python Software Developer - Front Office Risk Development Location: Toronto, Canada Our client, a leader in the financial services sector, is seeking a proficient Python Software Developer to join their Front Office risk team. This role focuses on developing critical risk management tools, including building Value-at-Risk (VaR) engines and position management systems from the ground up. This is a high-impact, mid-level position that will enable you to contribute to a range of risk-related applications and analytics in a Front Office environment. Responsibilities Design, develop, and implement advanced Python applications and tools for Front Office risk management, specifically VaR engines, risk systems, and position management tools. Collaborate closely with traders, quantitative analysts, and other key stakeholders to gather and understand business requirements, ensuring solutions align with Front Office risk management needs. Engage in the entire software development life cycle , from requirement gathering and system design to coding, testing, deployment, and ongoing maintenance. Optimize application performance and ensure system reliability for critical risk-related applications. Apply best practices in software engineering, including code reviews, version control, and automated testing to deliver efficient, maintainable, and scalable applications. Technical Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python programming skills , with a focus on performance optimization and handling large data sets. Knowledge of quantitative finance concepts like VaR, risk metrics, and portfolio analysis. Experience with Front Office environments in financial services is highly desirable. Proficiency in SQL and familiarity with relational databases (eg, PostgreSQL). Knowledge of FastAPI and Pandas for data handling and API development. Understanding of Multithreading and asyncio for high-performance computing. Cloud development experience , preferably with AWS. Familiarity with containerization technologies (Docker, Kubernetes) for deploying scalable applications. Preferred Experience Prior exposure to financial services, ideally within a Front Office risk or trading context. Understanding of trading and risk management workflows, with experience building applications used directly by trading and risk management teams.
10/01/2025
Full time
Python Software Developer - Front Office Risk Development Location: Toronto, Canada Our client, a leader in the financial services sector, is seeking a proficient Python Software Developer to join their Front Office risk team. This role focuses on developing critical risk management tools, including building Value-at-Risk (VaR) engines and position management systems from the ground up. This is a high-impact, mid-level position that will enable you to contribute to a range of risk-related applications and analytics in a Front Office environment. Responsibilities Design, develop, and implement advanced Python applications and tools for Front Office risk management, specifically VaR engines, risk systems, and position management tools. Collaborate closely with traders, quantitative analysts, and other key stakeholders to gather and understand business requirements, ensuring solutions align with Front Office risk management needs. Engage in the entire software development life cycle , from requirement gathering and system design to coding, testing, deployment, and ongoing maintenance. Optimize application performance and ensure system reliability for critical risk-related applications. Apply best practices in software engineering, including code reviews, version control, and automated testing to deliver efficient, maintainable, and scalable applications. Technical Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python programming skills , with a focus on performance optimization and handling large data sets. Knowledge of quantitative finance concepts like VaR, risk metrics, and portfolio analysis. Experience with Front Office environments in financial services is highly desirable. Proficiency in SQL and familiarity with relational databases (eg, PostgreSQL). Knowledge of FastAPI and Pandas for data handling and API development. Understanding of Multithreading and asyncio for high-performance computing. Cloud development experience , preferably with AWS. Familiarity with containerization technologies (Docker, Kubernetes) for deploying scalable applications. Preferred Experience Prior exposure to financial services, ideally within a Front Office risk or trading context. Understanding of trading and risk management workflows, with experience building applications used directly by trading and risk management teams.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Java Developer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 5+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
09/01/2025
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Java Developer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 5+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
