Quantitative Developer
I just spoke with a PM at a top-tier global hedge fund who is very actively interviewing to expand their team. They are seeking a Quantitative Developer to support their systematic investment team with a focus on cross asset derivatives - specifically equities. This cutting-edge firm has a strong track record of success and offers exceptional resources, career growth, and exposure to world-class talent across markets and strategies. The ideal candidate would be proficient in Python with strong data engineering and software architecture experience to support volatility strategies. The role involves close collaboration with quants and PMs to build scalable infrastructure, data pipelines, and analytics tool. It would be a great fit for a candidate who is adaptable, self-motivated and thrives in a rigorous, fast-paced environment.
Responsibilities:
- Develop and maintain Python services, libraries, and APIs
- Architect and implement scalable data pipelines with robust testing, monitoring, and observability
- Lead software design across trading and data infrastructure
- Manage production systems - alerting, incident response, and operational health
- Partner with quants and PMs to define requirements and deliver high-impact solutions
- Uphold coding standards, testing practices, and maintain clear technical documentation
- Drive adoption of best practices and automation to enhance development efficiency
Requirements:
- 3+ years of experience as a quantitative developer (finance or tech industry)
- Expert in Python (pandas, numpy, asyncio, FastAPI/Flask, pytest, Pydantic)
- Bachelor's or Master's in CS or related STEM field from a top university
- Exposure to equity derivatives
- Strong communication, analytical thinking, and problem-solving skills