*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.
28/06/2024
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.
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
27/06/2024
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 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.
27/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a 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.
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.
27/06/2024
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.
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. 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. 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. cloud environment. 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). Education and/or Experience: Master's degree or equivalent 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
27/06/2024
Full time
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. 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. 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. cloud environment. 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). Education and/or Experience: Master's degree or equivalent 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
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 Software Engineer. Candidate will support and work collaboratively with business analysts, team leads and development team. A contributor in developing scalable and resilient hybrid and Cloud-based data solutions supporting critical financial market clearing and risk activities; collaborate with other developers, architects and product owners to support enterprise transformation into a data-driven organization. The Application Developer will be a team player and work well with business, technical and non-technical professionals in a project environment. Responsibilities: Support the application development of Real Time and batch applications for business requirements in agreed architecture framework and Agile environment Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Performs application and project risk analysis and recommends quality improvements Assists Production Support by providing advice on system functionality and fixes as required Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management Experience with resolving security vulnerabilities Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. [Required] 3+ year of experience in building high speed, Real Time and batch solutions [Required] 3+ years of experience in Java [Preferred] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc [Preferred] Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. [Preferred] Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc [Preferred] Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google [Required] Experience writing unit and integration tests with testing frameworks like Junit, Citrus [Required] Experience working with various types of databases like Relational, NoSQL [Required] Experience working with Git [Preferred] Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc [Preferred] Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics [Required] Hands-on experience with Java version 8 onwards, Spring, SpringBoot, REST API Technical Skills: [Required] Java-based software development experience, including deep understanding of Java fundamentals like Data structures, Concurrency and Multithreading [Required] Experience in object-oriented design and software design patterns Education and/or Experience: [Required] BS degree in Computer Science, similar technical field required
26/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Java Software Engineer. Candidate will support and work collaboratively with business analysts, team leads and development team. A contributor in developing scalable and resilient hybrid and Cloud-based data solutions supporting critical financial market clearing and risk activities; collaborate with other developers, architects and product owners to support enterprise transformation into a data-driven organization. The Application Developer will be a team player and work well with business, technical and non-technical professionals in a project environment. Responsibilities: Support the application development of Real Time and batch applications for business requirements in agreed architecture framework and Agile environment Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Performs application and project risk analysis and recommends quality improvements Assists Production Support by providing advice on system functionality and fixes as required Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management Experience with resolving security vulnerabilities Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. [Required] 3+ year of experience in building high speed, Real Time and batch solutions [Required] 3+ years of experience in Java [Preferred] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc [Preferred] Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. [Preferred] Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc [Preferred] Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google [Required] Experience writing unit and integration tests with testing frameworks like Junit, Citrus [Required] Experience working with various types of databases like Relational, NoSQL [Required] Experience working with Git [Preferred] Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc [Preferred] Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics [Required] Hands-on experience with Java version 8 onwards, Spring, SpringBoot, REST API Technical Skills: [Required] Java-based software development experience, including deep understanding of Java fundamentals like Data structures, Concurrency and Multithreading [Required] Experience in object-oriented design and software design patterns Education and/or Experience: [Required] BS degree in Computer Science, similar technical field required
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious financial company is looking for a Java Back End Developer. This developer will need experience with Java, Real Time environment, Spring, Spring Boot, Multithreading, etc. Any experience with Kafka and DevOps tools is a plus. Responsibilities: Support the application development of Real Time and batch applications for business requirements in agreed architecture framework and Agile environment Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Performs application and project risk analysis and recommends quality improvements Assists Production Support by providing advice on system functionality and fixes as required Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management Experience with resolving security vulnerabilities Qualifications: Java-based software development experience, including deep understanding of Java fundamentals like Data structures, Concurrency and Multithreading Experience in object-oriented design and software design patterns BS degree in Computer Science, similar technical field required 3+ year of experience in building high speed, Real Time and batch solutions 3+ years of experience in Java Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google Experience writing unit and integration tests with testing frameworks like Junit, Citrus Experience working with various types of databases like Relational, NoSQL Experience working with Git Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc Hands-on experience with Java version 8 onwards, Spring, SpringBoot, REST API
26/06/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious financial company is looking for a Java Back End Developer. This developer will need experience with Java, Real Time environment, Spring, Spring Boot, Multithreading, etc. Any experience with Kafka and DevOps tools is a plus. Responsibilities: Support the application development of Real Time and batch applications for business requirements in agreed architecture framework and Agile environment Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Performs application and project risk analysis and recommends quality improvements Assists Production Support by providing advice on system functionality and fixes as required Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management Experience with resolving security vulnerabilities Qualifications: Java-based software development experience, including deep understanding of Java fundamentals like Data structures, Concurrency and Multithreading Experience in object-oriented design and software design patterns BS degree in Computer Science, similar technical field required 3+ year of experience in building high speed, Real Time and batch solutions 3+ years of experience in Java Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google Experience writing unit and integration tests with testing frameworks like Junit, Citrus Experience working with various types of databases like Relational, NoSQL Experience working with Git Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc Hands-on experience with Java version 8 onwards, Spring, SpringBoot, REST API
Calypso Developer required by Expert Resource on a contract basis for 12 months working on a hybrid basis for a leading financial institution. We are seeking a highly skilled and motivated Calypso Developer to join our client. In this role, you will be responsible for the development, customization, integration, and maintenance of the Calypso Technology platform, which is integral to our trading and risk management operations. As a Calypso Developer, you will collaborate closely with traders, risk managers, and other stakeholders to ensure the efficient functioning of our financial software solutions. Required Skills: Calypso Developer/SME Strong expertise in Calypso Technology, including hands-on experience with Calypso's Scripting language, Murex Query Language (MQL), and other relevant tools. Proficiency in Java, SQL, and other programming languages used for customization and integration. In-depth knowledge of financial markets, derivative products, risk management, and trading operations. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Adept at working in a fast-paced, high-pressure trading environment. Relevant certifications or training in Calypso development is a plus. Expert Resource is a bespoke specialist SAP, Oracle, Salesforce, Microsoft, and IT resource partner working with Clients on Contract, Permanent, and FTC opportunities globally. We pride ourselves on service and building strong professional relationships with candidates and clients in markets in which we have a genuine interest.
26/06/2024
Project-based
Calypso Developer required by Expert Resource on a contract basis for 12 months working on a hybrid basis for a leading financial institution. We are seeking a highly skilled and motivated Calypso Developer to join our client. In this role, you will be responsible for the development, customization, integration, and maintenance of the Calypso Technology platform, which is integral to our trading and risk management operations. As a Calypso Developer, you will collaborate closely with traders, risk managers, and other stakeholders to ensure the efficient functioning of our financial software solutions. Required Skills: Calypso Developer/SME Strong expertise in Calypso Technology, including hands-on experience with Calypso's Scripting language, Murex Query Language (MQL), and other relevant tools. Proficiency in Java, SQL, and other programming languages used for customization and integration. In-depth knowledge of financial markets, derivative products, risk management, and trading operations. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Adept at working in a fast-paced, high-pressure trading environment. Relevant certifications or training in Calypso development is a plus. Expert Resource is a bespoke specialist SAP, Oracle, Salesforce, Microsoft, and IT resource partner working with Clients on Contract, Permanent, and FTC opportunities globally. We pride ourselves on service and building strong professional relationships with candidates and clients in markets in which we have a genuine interest.
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs 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. 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. cloud environment. 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). Education and/or Experience: Masters degree or equivalent 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
25/06/2024
Full time
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs 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. 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. cloud environment. 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). Education and/or Experience: Masters degree or equivalent 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
ASSOCIATE PRINCIPAL, SOFTWARE ENGINEERING (JAVA) SALARY: $160k - $170k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite and 2 days remote NO SPONSORSHIP Looking for a candidate with 5 plus years Back End Java development version 8 or above. financial big plus. Must have event-driven systems experience of cloud-based AWS data solutions any devops terraform ansible jenkins. big plus memory model data structures concurrency and Multithreading strong testing flint Apache Spark kafka streams etc. Re: Java, do you understand Multithreading What is your level of experience in Spring. A Re: Kafka Can you answer basic user/developer questions Re: Flink do you have any experience Do you have any skills or understanding of BigO notations. This role supports and works collaboratively with business analysts, team leads and development team. A contributor in developing scalable and resilient hybrid and Cloud-based data solutions supporting critical financial market clearing and risk activities; collaborate with other developers, architects and product owners to support enterprise transformation into a data-driven organization. The Specialist, Application Developer will be a team player and work well with business, technical and non-technical professionals in a project environment. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Support the application development of big data application for business requirements in agreed architecture framework and Agile environment Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Performs application and project risk analysis and recommends quality improvements Assists Production Support by providing advice on system functionality and fixes as required Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management Experience with resolving security vulnerabilities Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. 5+ year of experience in building high speed, data-centric solutions 5+ years of experience in Java Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Experience with cloud technologies and migrations. Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google Experience writing unit and integration tests with testing frameworks like Junit, Citrus Experience following Git workflows Working knowledge of DevOps tools like Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics Technical Skills: Java-based software development experience and Multithreading Fluent in object-oriented design Strong testing experience Experience working with two or more of the following: Unix/Linux environments, event-driven systems, transaction processing systems, distributed and parallel systems, large software system development, security software development, public-cloud platforms Hands-on experience with Java version 8 onwards, Spring, SpringBoot, Microservices, REST API
25/06/2024
Full time
ASSOCIATE PRINCIPAL, SOFTWARE ENGINEERING (JAVA) SALARY: $160k - $170k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite and 2 days remote NO SPONSORSHIP Looking for a candidate with 5 plus years Back End Java development version 8 or above. financial big plus. Must have event-driven systems experience of cloud-based AWS data solutions any devops terraform ansible jenkins. big plus memory model data structures concurrency and Multithreading strong testing flint Apache Spark kafka streams etc. Re: Java, do you understand Multithreading What is your level of experience in Spring. A Re: Kafka Can you answer basic user/developer questions Re: Flink do you have any experience Do you have any skills or understanding of BigO notations. This role supports and works collaboratively with business analysts, team leads and development team. A contributor in developing scalable and resilient hybrid and Cloud-based data solutions supporting critical financial market clearing and risk activities; collaborate with other developers, architects and product owners to support enterprise transformation into a data-driven organization. The Specialist, Application Developer will be a team player and work well with business, technical and non-technical professionals in a project environment. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Support the application development of big data application for business requirements in agreed architecture framework and Agile environment Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Performs application and project risk analysis and recommends quality improvements Assists Production Support by providing advice on system functionality and fixes as required Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management Experience with resolving security vulnerabilities Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. 5+ year of experience in building high speed, data-centric solutions 5+ years of experience in Java Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Experience with cloud technologies and migrations. Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google Experience writing unit and integration tests with testing frameworks like Junit, Citrus Experience following Git workflows Working knowledge of DevOps tools like Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics Technical Skills: Java-based software development experience and Multithreading Fluent in object-oriented design Strong testing experience Experience working with two or more of the following: Unix/Linux environments, event-driven systems, transaction processing systems, distributed and parallel systems, large software system development, security software development, public-cloud platforms Hands-on experience with Java version 8 onwards, Spring, SpringBoot, Microservices, REST API
NO SPONSORSHIP Software Engineering - Quantitative Risk Automation Modelers Keys are: Python, Java, Terraform, DevOps, Containerization and financial industry experience. Looking for hard core developers who want to work within quantitative risk management and develop applications and solutions for the QRM team. They do not build models, they automate models. They need to come from an industry company (financial institute, trading company, exchange, etc.). Develop hardcore applications. Need to have CICD pipelines, IaC, Kubernetes, Terraform 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. 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. 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. 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 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 Scripting languages such as Python Master's degree or equivalent 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
25/06/2024
Full time
NO SPONSORSHIP Software Engineering - Quantitative Risk Automation Modelers Keys are: Python, Java, Terraform, DevOps, Containerization and financial industry experience. Looking for hard core developers who want to work within quantitative risk management and develop applications and solutions for the QRM team. They do not build models, they automate models. They need to come from an industry company (financial institute, trading company, exchange, etc.). Develop hardcore applications. Need to have CICD pipelines, IaC, Kubernetes, Terraform 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. 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. 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. 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 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 Scripting languages such as Python Master's degree or equivalent 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
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.
25/06/2024
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.