Quantitative Developer

Elliot Partnership; Greater London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A premier quantitative investment firm in Greater London seeks a skilled Quantitative Developer to create and enhance trading and simulation components. The ideal candidate holds a Master's or PhD and has over 5 years of experience in financial infrastructure, including strong programming skills in Python and SQL. This role is pivotal in ensuring research stability and security, offering a unique opportunity to work in a high-performance environment.

Qualifications

• 5+ years of experience in research and live trading infrastructure at a financial institution, including futures and FX.
• Experience handling connections to execution/order management systems.
• Willing to take ownership of work, working independently and within a team.

Responsibilities

• Build components for live trading and simulation.
• Refine automation and robustness of research infrastructure.
• Maintain and update the platform for stability and security.
• Develop data checking and storage procedures.
• Troubleshoot and resolve systems-related issues.

Skills

Python

SQL

Large datasets

Education

Masters or PhD in computer science or quantitative discipline

Job description

Working for one of the world’s premier quantitative investment firms. This firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Quantitative Developer for a portfolio team based in Dubai.

Responsibilities

• Building components for both live trading and simulation
• Refining, and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements

Requirements

• Masters or PhD in computer science or other quantitative discipline
• 5+ years of experience designing and developing research and live trading infrastructure at a financial institution, including experience in futures and FX
• Experience handling connections to execution/order management systems
• Strong programming skills in Python
• Experience with SQL, database design, and large datasets
• Willing to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards