Job Specification: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
10/05/2024
Full time
Job Specification: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
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
10/05/2024
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
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.
09/05/2024
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.
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.
09/05/2024
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.
Principal Python Engineer (Sell Side) Up to £140,000 2 days a week on site in Central London Summary You'll play a crucial role in delivering top-notch software solutions, meticulously tested and optimized to perfection. Your responsibilities will span from building innovative solutions and integration's to enhancing our existing code base, all while contributing to the continuous evolution of our platform design and architecture. You'll be at the forefront of transforming raw data into actionable insights for our data scientists and business analysts, designing and developing reusable data pipelines tailored for my clients data platform. Exposure to cutting-edge technologies such as serverless solutions, micro service architecture, delta lake, and cloud-based applications will be part of your journey, along with maintaining Infrastructure as Code (IaC). You'll need: 3-5+ years of full-stack development experience, including design, development, testing, deployment, and version control. Proficiency in Python, Structured Query Language (SQL), ReactJS, and REST API. Hands-on experience with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and EBS, for designing scalable, cloud-native, distributed software utilizing modern development architectures. Strong analytical and problem-solving skills, coupled with effective communication abilities. What's in it for you Up to £140,000 base salary Market leading bonus and pension flexible working arrangements Cornwallis Elt is an Employment Agency & Employment Business and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UKs fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50 & Hot 100 reports.
09/05/2024
Full time
Principal Python Engineer (Sell Side) Up to £140,000 2 days a week on site in Central London Summary You'll play a crucial role in delivering top-notch software solutions, meticulously tested and optimized to perfection. Your responsibilities will span from building innovative solutions and integration's to enhancing our existing code base, all while contributing to the continuous evolution of our platform design and architecture. You'll be at the forefront of transforming raw data into actionable insights for our data scientists and business analysts, designing and developing reusable data pipelines tailored for my clients data platform. Exposure to cutting-edge technologies such as serverless solutions, micro service architecture, delta lake, and cloud-based applications will be part of your journey, along with maintaining Infrastructure as Code (IaC). You'll need: 3-5+ years of full-stack development experience, including design, development, testing, deployment, and version control. Proficiency in Python, Structured Query Language (SQL), ReactJS, and REST API. Hands-on experience with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and EBS, for designing scalable, cloud-native, distributed software utilizing modern development architectures. Strong analytical and problem-solving skills, coupled with effective communication abilities. What's in it for you Up to £140,000 base salary Market leading bonus and pension flexible working arrangements Cornwallis Elt is an Employment Agency & Employment Business and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UKs fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50 & Hot 100 reports.
Senior Software Developer - Quantitative Risk Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *This role is open to sponsorship candidates* Qualifications Master's degree in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas 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.). Bonus points Experience with Scripting languages such as Python. Experience with numerical libraries and/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities 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, back testing, and monitoring.
07/05/2024
Full time
Senior Software Developer - Quantitative Risk Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *This role is open to sponsorship candidates* Qualifications Master's degree in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas 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.). Bonus points Experience with Scripting languages such as Python. Experience with numerical libraries and/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities 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, back testing, and monitoring.
Attribution Analyst (Fixed Income Product Owner Manager Attribution Bonds Credit Rates Bloomberg PORT GRM Front Office Trading Risk SQL Python Asset Manager Investment Management Asset Manager Finance Financial Services Buy Side Hedge Fund) required by our asset management client in London. You MUST have the following: An excellent knowledge of Fixed Income within the buy-side An advanced understanding of Fixed Income attribution and attribution strategies A good understanding or PORT and therefore the GRM Strong experience working with Front Office stack holders such as portfolio managers, risk and credit analysts The following is DESIRABLE, not essential: Experience working with in-house built Fixed Income attribution systems SQL and Python Role: Attribution Analyst (Fixed Income Product Owner Manager Attribution Bonds Credit Rates Bloomberg PORT GRM Front Office Trading Risk SQL Python Asset Manager Investment Management Asset Manager Finance Financial Services Buy Side Hedge Fund) required by our asset management client in London. You will join a team of 8 that is dedicated to the in-house-built Fixed Income attribution system of the company. It covers trade-tagging, Brinson modelling and factor-based attribution strategies. Your primary role will be to collaborate with the engineering manager, the credit analyst team, risk and the portfolio managers to further build out and detail the existing three-year road-map for the product. This will include progressing the trade-tagging product to generate data and further evolving the factor-based system. This product ownership or management will be 80-85% of your role. 15-20% will be working with Bloomberg on data quality around GRM and BHPA data from PORT, although this % will decline as you and the team work to automate this process. Ultimately, it should reach about 5%. This is an excellent opportunity to exercise your Fixed Income attribution knowledge in collaboration with technology, portfolio management, risk, research and analytics. This is a high-performing team with weekly releases and an excellent reputation. Salary: £80k - £100k + 20% Bonus + 10% Pension
07/05/2024
Full time
Attribution Analyst (Fixed Income Product Owner Manager Attribution Bonds Credit Rates Bloomberg PORT GRM Front Office Trading Risk SQL Python Asset Manager Investment Management Asset Manager Finance Financial Services Buy Side Hedge Fund) required by our asset management client in London. You MUST have the following: An excellent knowledge of Fixed Income within the buy-side An advanced understanding of Fixed Income attribution and attribution strategies A good understanding or PORT and therefore the GRM Strong experience working with Front Office stack holders such as portfolio managers, risk and credit analysts The following is DESIRABLE, not essential: Experience working with in-house built Fixed Income attribution systems SQL and Python Role: Attribution Analyst (Fixed Income Product Owner Manager Attribution Bonds Credit Rates Bloomberg PORT GRM Front Office Trading Risk SQL Python Asset Manager Investment Management Asset Manager Finance Financial Services Buy Side Hedge Fund) required by our asset management client in London. You will join a team of 8 that is dedicated to the in-house-built Fixed Income attribution system of the company. It covers trade-tagging, Brinson modelling and factor-based attribution strategies. Your primary role will be to collaborate with the engineering manager, the credit analyst team, risk and the portfolio managers to further build out and detail the existing three-year road-map for the product. This will include progressing the trade-tagging product to generate data and further evolving the factor-based system. This product ownership or management will be 80-85% of your role. 15-20% will be working with Bloomberg on data quality around GRM and BHPA data from PORT, although this % will decline as you and the team work to automate this process. Ultimately, it should reach about 5%. This is an excellent opportunity to exercise your Fixed Income attribution knowledge in collaboration with technology, portfolio management, risk, research and analytics. This is a high-performing team with weekly releases and an excellent reputation. Salary: £80k - £100k + 20% Bonus + 10% Pension