*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. 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, backtesting 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. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas 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. 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.
31/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. 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, backtesting 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. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas 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. 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.
Data & Analytics Platform Architect (Spark, Kafka, Cloudera, Hadoop Ecosystem, Data Warehouse, Analytics) We are seeking a highly skilled and experienced Data & Analytics Platform Architect to join our Data & Analytics team. As the Platform Architect, you will take ownership of our expanding Data Platform architecture and ensure that our solutions fully leverage the capabilities of our diverse Data ecosystem. You will be responsible for the stability, health, and future-proof architecture of our Data & Analytics Platform. Currently, our platform consists of Teradata as the main Data Warehouse, Cloudera and the Hadoop ecosystem (Spark, Ni-Fi, Kafka, etc.) as the Big Data platform, and Qlik as the reporting software. Your Responsibilities Provide strong functional and technical guidance to ensure proper design of the Data & Analytics Platform, aiming for best-in-class technical and integration solutions. Design, coordinate, and execute pilots, prototypes, or proof of concepts to validate specific scenarios. Lead and coordinate operational activities related to the Data & Analytics Platform. Take ownership of technical documentation for the platforms involved in the Data & Analytics Platform. Collaborate with Enterprise architects to align Data & Analytics Platform designs with the global Architecture and contribute to the global architecture. Oversee and continuously enhance the architecture and ecosystem of the Data & Analytics Platform. Maintain in-depth knowledge about the tools and platforms used in the data & analytics platform, as well as their ecosystem and roadmap. Bridge the organizational needs of different users of the Data & Analytics Platform, including data scientists, data engineers, and Qlik Developers. Lead the ongoing transition of the on-premise system to the public cloud. Coach the development team in relevant areas. Your skills Extensive expertise in modern Data Platforms, particularly focusing on the Big Data Hadoop ecosystem and Massive Parallel Processing data warehouses. In-depth understanding of the capabilities and specificities of Public Cloud platforms such as Azure, AWS, and GCP. Demonstrated track record in working with public cloud Data Platforms and implementing Lakehouse architecture. Proven experience in managing and architecting the Hadoop ecosystem. Ability to perform system benchmarking, identify system bottlenecks, and propose effective solutions for resolution. Strong team player with the capability to collaborate effectively in a multidisciplinary team environment, as the data environment is developed collaboratively with employees from diverse disciplines.
31/05/2024
Project-based
Data & Analytics Platform Architect (Spark, Kafka, Cloudera, Hadoop Ecosystem, Data Warehouse, Analytics) We are seeking a highly skilled and experienced Data & Analytics Platform Architect to join our Data & Analytics team. As the Platform Architect, you will take ownership of our expanding Data Platform architecture and ensure that our solutions fully leverage the capabilities of our diverse Data ecosystem. You will be responsible for the stability, health, and future-proof architecture of our Data & Analytics Platform. Currently, our platform consists of Teradata as the main Data Warehouse, Cloudera and the Hadoop ecosystem (Spark, Ni-Fi, Kafka, etc.) as the Big Data platform, and Qlik as the reporting software. Your Responsibilities Provide strong functional and technical guidance to ensure proper design of the Data & Analytics Platform, aiming for best-in-class technical and integration solutions. Design, coordinate, and execute pilots, prototypes, or proof of concepts to validate specific scenarios. Lead and coordinate operational activities related to the Data & Analytics Platform. Take ownership of technical documentation for the platforms involved in the Data & Analytics Platform. Collaborate with Enterprise architects to align Data & Analytics Platform designs with the global Architecture and contribute to the global architecture. Oversee and continuously enhance the architecture and ecosystem of the Data & Analytics Platform. Maintain in-depth knowledge about the tools and platforms used in the data & analytics platform, as well as their ecosystem and roadmap. Bridge the organizational needs of different users of the Data & Analytics Platform, including data scientists, data engineers, and Qlik Developers. Lead the ongoing transition of the on-premise system to the public cloud. Coach the development team in relevant areas. Your skills Extensive expertise in modern Data Platforms, particularly focusing on the Big Data Hadoop ecosystem and Massive Parallel Processing data warehouses. In-depth understanding of the capabilities and specificities of Public Cloud platforms such as Azure, AWS, and GCP. Demonstrated track record in working with public cloud Data Platforms and implementing Lakehouse architecture. Proven experience in managing and architecting the Hadoop ecosystem. Ability to perform system benchmarking, identify system bottlenecks, and propose effective solutions for resolution. Strong team player with the capability to collaborate effectively in a multidisciplinary team environment, as the data environment is developed collaboratively with employees from diverse disciplines.
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 Principal Java Risk Management Software Engineer. 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 10+ 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.
30/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. 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 10+ 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.
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 Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining 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. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. 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. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. 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 10+ 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.
30/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining 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. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. 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. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. 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 10+ 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.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains 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. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. 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, backtesting 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. 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. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
30/05/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains 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. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. 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, backtesting 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. 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. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
Campaign Manager 12 Month Contract £255p/d Inside IR35 Weybridge, Surrey - Hybrid A leading high-tech company is looking to manage the Operations capabilities of their Adobe Campaign solution across Europe. We are looking for an experienced Adobe Campaign (Classic) Consultant with Operations experience can provide a role of leadership within the campaign execution team. You will need to operate in a fast moving environment and provide the technical bridge between the campaign briefings and operations team, having a solid understanding of the full end-to-end campaign process, from brief to delivery, and working with internal stakeholders in order to ensure that campaign deadlines are achieved. KEY ACCOUNTABILITIES To succeed in this role a strong background with Adobe Campaign is essential (Note: other equivalent tools could be considered based on the candidate). You will be expected to understand the technical configurations in place with the existing Adobe Campaign solution, and provide a bridge to users to aid understanding how to build and execute campaigns within the tool. This could cover roles such as training, optimisation, best practice and management of the execution team. You will act as one of the gatekeepers to ensure quality control, and also help to provide reporting if required. You will also be expected to own the documentation that is required to support the operations execution. You will also provide the link to the existing in-house technical team to discuss and potentially assist in the engineering of existing solutions or new features that may be required. You will also be expected to provide input into future direction of how we work with Adobe Campaign given the role will place you in the front line with the clients and current campaign use cases. This role requires strong consultancy skills and you will be expected to take the lead within the operations team for any technical considerations that may require engagement with our client. Key Liaisons The Operations Management Team CDM Management Team CDM Technical Support Team Adobe Support and other 3rd parties DIMENSIONS: Maintain good and strong relationships with all key liaisons The direction of activities associated with marketing team and operation team SKILLS AND EXPERIENCE : Essential Experience using Adobe Campaign Classic (v6/7) Proactive, independent, responsible attitude Background within an Adobe Campaign Operations role showing experience of best practice, client engagement Digital Marketing Experience Experience in programming, product configuration and integration of Adobe Campaign and/or other marketing cloud solutions Excellent written and verbal communication (clear, accurate, complete, actionable) Desired Adobe Campaign certification - preferably Business Practitioner Experience in other connected technologies such as SQL (PostgreSQL, MS SQL Server or Oracle), HTML, CSS, Workflows, Data management, Javascript, Qlik data analytics experience Estimations and PM Methodologies Training experience Additional experience of other Adobe Marketing Cloud solutions (AA, AEM, AAM etc) Engagement with, or in-depth knowledge of the consumer electronics industry Big brand experience Global or European experience an advantage Issue resolution and escalation
30/05/2024
Project-based
Campaign Manager 12 Month Contract £255p/d Inside IR35 Weybridge, Surrey - Hybrid A leading high-tech company is looking to manage the Operations capabilities of their Adobe Campaign solution across Europe. We are looking for an experienced Adobe Campaign (Classic) Consultant with Operations experience can provide a role of leadership within the campaign execution team. You will need to operate in a fast moving environment and provide the technical bridge between the campaign briefings and operations team, having a solid understanding of the full end-to-end campaign process, from brief to delivery, and working with internal stakeholders in order to ensure that campaign deadlines are achieved. KEY ACCOUNTABILITIES To succeed in this role a strong background with Adobe Campaign is essential (Note: other equivalent tools could be considered based on the candidate). You will be expected to understand the technical configurations in place with the existing Adobe Campaign solution, and provide a bridge to users to aid understanding how to build and execute campaigns within the tool. This could cover roles such as training, optimisation, best practice and management of the execution team. You will act as one of the gatekeepers to ensure quality control, and also help to provide reporting if required. You will also be expected to own the documentation that is required to support the operations execution. You will also provide the link to the existing in-house technical team to discuss and potentially assist in the engineering of existing solutions or new features that may be required. You will also be expected to provide input into future direction of how we work with Adobe Campaign given the role will place you in the front line with the clients and current campaign use cases. This role requires strong consultancy skills and you will be expected to take the lead within the operations team for any technical considerations that may require engagement with our client. Key Liaisons The Operations Management Team CDM Management Team CDM Technical Support Team Adobe Support and other 3rd parties DIMENSIONS: Maintain good and strong relationships with all key liaisons The direction of activities associated with marketing team and operation team SKILLS AND EXPERIENCE : Essential Experience using Adobe Campaign Classic (v6/7) Proactive, independent, responsible attitude Background within an Adobe Campaign Operations role showing experience of best practice, client engagement Digital Marketing Experience Experience in programming, product configuration and integration of Adobe Campaign and/or other marketing cloud solutions Excellent written and verbal communication (clear, accurate, complete, actionable) Desired Adobe Campaign certification - preferably Business Practitioner Experience in other connected technologies such as SQL (PostgreSQL, MS SQL Server or Oracle), HTML, CSS, Workflows, Data management, Javascript, Qlik data analytics experience Estimations and PM Methodologies Training experience Additional experience of other Adobe Marketing Cloud solutions (AA, AEM, AAM etc) Engagement with, or in-depth knowledge of the consumer electronics industry Big brand experience Global or European experience an advantage Issue resolution and escalation
We are looking for a Senior DevOps/MLOps Engineer to join a project at one of the biggest banks in the Netherlands. They are looking for someone who can assist with designing, deploying and testing high quality Back End software on top of transaction data. They are looking for someone who can work on the infrastructure of the Azure cloud and work in an MLOps environment. Ideal Profile Medior/Senior level of experience in DevOps engineering Experience deploying solutions to Azure Experience building CICD environments Experience in an MLOps Environment If this is interesting to you apply below! About Levy: Since 2000 Levy provides professional Solutions to organizations ranging from tech start-ups to global players. From our offices in the UK and Amsterdam we have built an international local network of skilled employed professionals and contractors fueled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come multiplying by unity!
28/05/2024
Project-based
We are looking for a Senior DevOps/MLOps Engineer to join a project at one of the biggest banks in the Netherlands. They are looking for someone who can assist with designing, deploying and testing high quality Back End software on top of transaction data. They are looking for someone who can work on the infrastructure of the Azure cloud and work in an MLOps environment. Ideal Profile Medior/Senior level of experience in DevOps engineering Experience deploying solutions to Azure Experience building CICD environments Experience in an MLOps Environment If this is interesting to you apply below! About Levy: Since 2000 Levy provides professional Solutions to organizations ranging from tech start-ups to global players. From our offices in the UK and Amsterdam we have built an international local network of skilled employed professionals and contractors fueled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come multiplying by unity!