Quantitative Developer

Point72; Dubai; On-site; USD 60,000 - 120,000; Full time

Job summary

An established industry player is seeking a talented individual to join their team in developing systematic trading strategies. This role involves building components for live trading and simulations, enhancing portfolio construction methodologies, and maintaining a robust trading platform. The ideal candidate will possess strong programming skills in Python and a solid background in quantitative disciplines. This is an exciting opportunity to work in a collaborative environment where your contributions will directly impact trading strategies and market performance. If you are passionate about technology and finance, this position offers a unique chance to thrive in a dynamic setting.

Qualifications

• 2+ years of experience in developing research tools at a tech firm or quant hedge fund.
• Strong programming skills in Python and experience with large datasets.

Responsibilities

• Build components for live trading and simulation of global equities portfolios.
• Maintain and update the platform for stability and security.

Skills

Python programming

systematic portfolio construction

data checking and storage procedures

troubleshooting systems-related issues

Education

Master's degree in mathematics

Master's degree in statistics

Master's degree in computer science

Tools

kdb database

Job description

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, 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/RESPONSIBILITIES:

• Building components for both live trading and simulation of global equities portfolios
• Building tools for simulation portfolio construction dashboards and the research framework
• Designing and deploying new features to improve portfolio construction methodology and process
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Identifying deficiencies in the trading platform and deploying solutions
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancements

REQUIREMENTS:

• Master's degree or higher in mathematics, statistics, computer science, or other quantitative discipline
• 2 years of experience designing and developing research tools at a tech firm or quant hedge fund
• Experience with systematic portfolio construction for equities is a plus
• Strong programming skills in Python
• Experience with kdb 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