Acquire Me

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. Get in touch to learn more about how we can help with your growth plans or the search for your next role. UK: +44 (0)203 393 2490 US: +1 (646)-895-6354

Listed Jobs

Company Name

Acquire Me

Job Title

Software Developer - Quantitative Trading

Job Description

Job Title: Software Developer – Quantitative Trading Role Summary: Design, build, and maintain distributed systems that enable quantitative researchers to backtest trade ideas, transition research code into production models, and continuously monitor and tune revenue‑generating algorithms. Expactations: - Deliver high‑performance, reliable systems that shorten the research‑to‑execution cycle. - Own end‑to‑end system lifecycles, from design through production and ongoing optimization. - Collaborate closely with quants to translate mathematical models into live trading infrastructure. Key Responsibilities: - Architect and implement distributed backtesting platforms for equity strategies. - Convert research prototypes into production‑ready, scalable models. - Monitor live algorithm performance, identify bottlenecks, and deploy optimizations. - Iterate on system design to improve latency, throughput, and data integrity. - Work with cross‑functional teams to prioritize features that directly impact trading performance. Required Skills: - Proficiency in Python, C++ or equivalent high‑performance languages. - Strong background in distributed systems, concurrency, and data pipelines. - Experience with version control (Git), CI/CD, and automated testing. - Mathematical/quantitative mindset—knowledge of statistics, probability, or machine learning. - Ability to write clean, maintainable code and perform rigorous performance tuning. - Excellent problem‑solving skills and a preference for end‑to‑end ownership. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field. - Advanced degree or coursework in quantitative finance, statistics, or machine learning is a plus.

New york city, United states

On site

18-03-2026