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Deep Learning Researcher – Quantitative Trading

Hybrid

New york city, United states

$ 350,000 /year

Full Time

25-11-2025

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Skills

Python Research Training Machine Learning Deep Learning C++

Job Specifications

We’re looking for a Deep Learning Machine Learning Researcher to join a boutique cutting edge quantitative trading firm. Working alongside industry leading Research Scientists focused on the design and implementation of ML models that impact trading strategies, cost reduction, and execution.

Role:

- Conduct pioneering ML research with a focus on deep learning and LLMs

- Build and train models for performance, scalability, and live trading deployment

- Lead open-ended research projects from concept to production, advancing model architectures, tools, and infrastructure.

Skills:

- Minimum 5 years of experience turning research ideas into production

- Deep knowledge of LLMs

- Training and optimization expertise

- Proficiency in Python / C++ and ML frameworks

- Strong statistical & mathematical foundation

- STEM PhD, or Master's degree, strong publications record

Join:

If you want to do meaningful ML research with measurable financial impact, where ideas don’t stay theoretical, they move markets.

Get in touch for more details.

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