Quantitative Developer
Our client is a small but highly successful quantitative driven hedge fund. The business deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including Equities, Futures & Foreign Exchange.
As a valued member of this tight knit, high profile group within the firm you will work hand in hand with Quantitative Researchers to turn moon-shot ideas into profitable trading algorithms – working directly on signal research and alpha generation.
Job Description
Developing bespoke software solutions to design custom research infrastructure that is centralised amongst the group, including alpha estimation, risk modelling, and back testing components
Design, develop, and deploy structured software solutions for data analytics, alpha & signal generation, and the overall research framework for the team
Maintaining and updating the platform, ensuring its stability, robustness, and security
Developing robust data checking and storage procedures
Building components for both live trading and simulation
Desirable Candidates
Bachelor’s degree or higher in computer science or other quantitative discipline from a renowned higher education institution
3+ years’ core engineering experience at a major Tech Company/competing Hedge Fund or Trading Firm/Investment Bank or FinTech.
Proficiency in Python is preferred, but experience with C++ is also acceptable
Ability to work closely with business stakeholders
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Requirements
Bachelor’s degree or higher in computer science or other quantitative discipline from a renowned higher education institution
3+ years’ core engineering experience at a major Tech Company/competing Hedge Fund or Trading Firm/Investment Bank or FinTech.
Additional Instructions
Developing bespoke software solutions to design custom research infrastructure that is centralised amongst the group, including alpha estimation, risk modelling, and back testing components
Design, develop, and deploy structured software solutions for data analytics, alpha & signal generation, and the overall research framework for the team
Maintaining and updating the platform, ensuring its stability, robustness, and security
Developing robust data checking and storage procedures
Building components for both live trading and simulation
