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Quantitative Developer - Trading Technology

Hybrid

New york city, United states

$ 300,000 /year

Junior

Full Time

04-02-2026

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Skills

Python Research C++ Analytics

Job Specifications

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

About the Company

We are a specialist technology recruiting firm dedicated to connecting the brightest and best STEM talent into the most exciting opportunities across the world’s most renowned scientific-led quantitative hedge funds, proprietary trading firms and high-growth start-ups. As an organisation, we seek to combine our 20+ years of human expertise in tech recruiting best practice alongside a data-led research-driven methodology to unearth, connect and engage with the most exceptional calibre of technology talent across the industry.... Know more