NO SPONSORSHIP Associate Principal, Software Engineering - QRM SALARY: $135k - $145k - $150kish plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite and 2 days remote SELLING POINTS: develops and maintains risk models for managing clearing fund and stress testing risk model software in production. AWS develop CICD pipelines JAVA C# Python Agile Scrum financial products a plus understand markets financial derivatives equities interest rates commodity products Java preferred cicd infrastructure as a code Kubernetes terraform splunk open telemetry SQL big data Scripting in python 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. Primary Duties and 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. Qualifications: Strong programing 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. 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. 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 Certificates or Licenses:
08/05/2024
Full time
NO SPONSORSHIP Associate Principal, Software Engineering - QRM SALARY: $135k - $145k - $150kish plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite and 2 days remote SELLING POINTS: develops and maintains risk models for managing clearing fund and stress testing risk model software in production. AWS develop CICD pipelines JAVA C# Python Agile Scrum financial products a plus understand markets financial derivatives equities interest rates commodity products Java preferred cicd infrastructure as a code Kubernetes terraform splunk open telemetry SQL big data Scripting in python 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. Primary Duties and 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. Qualifications: Strong programing 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. 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. 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 Certificates or Licenses:
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.
I am working with a digital function of a large scale company in Glasgow who are looking to recruit an experienced Product Owner to the team . The company: The business is a national renewables organisation and they are growing their digital capabilities greatly. This is a brand new position, created in order to help to develop internal software and to continue to modernise their cloud and data services. Sitting within a team of roughly 50 Software Developers, you will report into the Senior Product Owner and will be involved in making a number of "nitty gritty" decisions. You will be working across a widespread number of projects and these will all involve modernising the software environment (Web and Apps). The company look for some presence in office (1 or 2 days a week), but there is flex on the days. They offer strong benefits on top of the salary including a 15% bonus, strong pension and other additional perks. The role: There are actually two different Product Owner roles, one more app based and the other very customer centric. Both definitely have a digital focus and this is definitely a benefits as a background. The business try to work across Agile Scrum as much as possible, however there are occasional Kanban projects (depending what suits best). Some of the teams are also on two-weekly release cycles, the others monthly. In terms of role, you will be responsible for: Interpretation of user research, quantitative and qualitative data; Creation of product and service roadmaps; use of product descriptions and iterative delivery plans to assign priorities and make informed decisions and responsibility for the product management life cycle. The team you will work with are truly cross-functional, with Developers, Designers, Testers and BA's. The teams utilise a variety of technologies and these are very modern and the very best available. Key Skills and Responsibilities: * A few years working as a Product Owner in an Agile software environment (ideally Digital) * Work closely with agile development teams to deliver great products and services for our customers * Prioritise features and break them down into user stories * Maintain product feature backlog and development for the product * Write requirements - typically as user stories and epics * Provide knowledge and understanding of product and feature goals to technology teams while they develop and test to your designs * Create high-level documentation * Participate in daily scrum meetings, planning, reviews and retrospectives * Defining features and distilling them into requirements, such as epics and user stories, and defining acceptance criteria This is an opportunity to work with a thriving and employee-first organisation. You will get to work on some large scale and modern projects and with some huge organisations, whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
07/05/2024
Full time
I am working with a digital function of a large scale company in Glasgow who are looking to recruit an experienced Product Owner to the team . The company: The business is a national renewables organisation and they are growing their digital capabilities greatly. This is a brand new position, created in order to help to develop internal software and to continue to modernise their cloud and data services. Sitting within a team of roughly 50 Software Developers, you will report into the Senior Product Owner and will be involved in making a number of "nitty gritty" decisions. You will be working across a widespread number of projects and these will all involve modernising the software environment (Web and Apps). The company look for some presence in office (1 or 2 days a week), but there is flex on the days. They offer strong benefits on top of the salary including a 15% bonus, strong pension and other additional perks. The role: There are actually two different Product Owner roles, one more app based and the other very customer centric. Both definitely have a digital focus and this is definitely a benefits as a background. The business try to work across Agile Scrum as much as possible, however there are occasional Kanban projects (depending what suits best). Some of the teams are also on two-weekly release cycles, the others monthly. In terms of role, you will be responsible for: Interpretation of user research, quantitative and qualitative data; Creation of product and service roadmaps; use of product descriptions and iterative delivery plans to assign priorities and make informed decisions and responsibility for the product management life cycle. The team you will work with are truly cross-functional, with Developers, Designers, Testers and BA's. The teams utilise a variety of technologies and these are very modern and the very best available. Key Skills and Responsibilities: * A few years working as a Product Owner in an Agile software environment (ideally Digital) * Work closely with agile development teams to deliver great products and services for our customers * Prioritise features and break them down into user stories * Maintain product feature backlog and development for the product * Write requirements - typically as user stories and epics * Provide knowledge and understanding of product and feature goals to technology teams while they develop and test to your designs * Create high-level documentation * Participate in daily scrum meetings, planning, reviews and retrospectives * Defining features and distilling them into requirements, such as epics and user stories, and defining acceptance criteria This is an opportunity to work with a thriving and employee-first organisation. You will get to work on some large scale and modern projects and with some huge organisations, whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
Quant Developer - London You will play a crucial role in the development and implementation of cutting-edge strategies across assets but with a particular focus on equity volatility. Collaborating with a talented team of quantitative researchers, traders, and technologists, you will leverage your expertise in quantitative finance and software engineering to create robust and sophisticated trading solutions. Work closely with Portfolio Managers to understand their requirements and implement efficient trading algorithms that capture opportunities in equity volatility markets. Collaborate with the technology team to optimize and improve the performance of trading systems and infrastructure. Requirements Proven experience (2+ years) as a quantitative developer or software engineer within a systematic trading environment. Understanding of equity markets, volatility modelling, and derivative instruments. Strong Programming skills eg R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages
03/05/2024
Full time
Quant Developer - London You will play a crucial role in the development and implementation of cutting-edge strategies across assets but with a particular focus on equity volatility. Collaborating with a talented team of quantitative researchers, traders, and technologists, you will leverage your expertise in quantitative finance and software engineering to create robust and sophisticated trading solutions. Work closely with Portfolio Managers to understand their requirements and implement efficient trading algorithms that capture opportunities in equity volatility markets. Collaborate with the technology team to optimize and improve the performance of trading systems and infrastructure. Requirements Proven experience (2+ years) as a quantitative developer or software engineer within a systematic trading environment. Understanding of equity markets, volatility modelling, and derivative instruments. Strong Programming skills eg R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages
Quantitative Analyst - Sports Trading London £100,000 Quantitative Analyst with experience within the sports trading industry required by an excellent client based in central London. As a Quantitative Analyst, you will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their won initiative and as a team. You will ideally be educated to at least a MSc level in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. A PhD would be beneficial. Skills required: Ideally a MSc or PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (see below) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
02/05/2024
Full time
Quantitative Analyst - Sports Trading London £100,000 Quantitative Analyst with experience within the sports trading industry required by an excellent client based in central London. As a Quantitative Analyst, you will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their won initiative and as a team. You will ideally be educated to at least a MSc level in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. A PhD would be beneficial. Skills required: Ideally a MSc or PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (see below) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income I am seeking an experienced KDB Developer to join my client who is a leading Investment Bank based in Canary Wharf. You will be joining the Fixed Income e-trading team to help develop enhancements and deliver automation. Key Responsibilities: Collaborate closely with the KDB Framework, actively engaging with business, traders, and quants to innovate and implement enhancements, focusing on automation. Provide Real Time support to quants and traders, troubleshooting issues efficiently within the dynamic trading environment. Lead the development of new features for the KDB data analytics platform, strengthening infrastructure, and delivering direct support to Fixed Income E-Trading/Sales/Quant desks. Take a proactive role in projects aimed at enhancing functionality and ensuring stability, driving alignment with business objectives. Develop and maintain tools to streamline support for our cutting-edge proprietary trading platform. Identify and pursue opportunities for automating manual tasks across global teams, continuously seeking efficiency improvements. Collaborate closely with traders and quants to analyze Real Time requirements, devise solutions, and oversee the entire life cycle from design through deployment. Work closely with systems development teams to ensure optimal design, deployment, capacity, and operability. Assume full ownership of issues, ensuring comprehensive resolution and driving continuous improvement efforts. Key Skills: KDB Q KDP Plants Fixed Income Experience with end-to-end KDB Solutions This is a contract role, initial 12 months, paying up to £1100 per day PAYE. You will be required to go into the office 2 days per week. Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income
01/05/2024
Project-based
Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income I am seeking an experienced KDB Developer to join my client who is a leading Investment Bank based in Canary Wharf. You will be joining the Fixed Income e-trading team to help develop enhancements and deliver automation. Key Responsibilities: Collaborate closely with the KDB Framework, actively engaging with business, traders, and quants to innovate and implement enhancements, focusing on automation. Provide Real Time support to quants and traders, troubleshooting issues efficiently within the dynamic trading environment. Lead the development of new features for the KDB data analytics platform, strengthening infrastructure, and delivering direct support to Fixed Income E-Trading/Sales/Quant desks. Take a proactive role in projects aimed at enhancing functionality and ensuring stability, driving alignment with business objectives. Develop and maintain tools to streamline support for our cutting-edge proprietary trading platform. Identify and pursue opportunities for automating manual tasks across global teams, continuously seeking efficiency improvements. Collaborate closely with traders and quants to analyze Real Time requirements, devise solutions, and oversee the entire life cycle from design through deployment. Work closely with systems development teams to ensure optimal design, deployment, capacity, and operability. Assume full ownership of issues, ensuring comprehensive resolution and driving continuous improvement efforts. Key Skills: KDB Q KDP Plants Fixed Income Experience with end-to-end KDB Solutions This is a contract role, initial 12 months, paying up to £1100 per day PAYE. You will be required to go into the office 2 days per week. Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income