Team:
A tech-first hedge fund is looking for an exceptional Quantitative Software Engineer to join a high-impact, elite team working at the edge of algorithmic trading. Small in size but huge in success, this firm deploys systematic, data-driven strategies across global markets - including Equities, Futures, and FX.
The following information aims to provide potential candidates with a better understanding of the requirements for this role.
You won’t just be building tools - you’ll be partnering directly with world-class Quant Researchers to turn ambitious, moon-shot ideas into real, profitable trades. From alpha discovery to signal research, your work will have an immediate and tangible impact.
What you’ll be doing:
- Architecting and building custom research infrastructure for alpha estimation, risk modeling, and backtesting
- Developing high-performance tools and platforms for data analytics and signal generation
- Writing code that supports both live trading and simulation environments
- Creating smart, scalable systems for data storage, integrity checks, and pipeline automation
- Ensuring performance, reliability, and security of mission-critical research infrastructure
What we’re looking for:
- STEM degree from a top-tier institution
- 5+ years of hands-on software engineering experience (Big Tech, hedge fund, prop shop, or start-up background preferred)
- Deep fluency in Python and/or C++
- Serious problem-solving chops and a product-driven mindset
- A sharp commercial instinct and hunger to work at the intersection of tech and finance
Apply or get in touch if this sounds like you..
Quantitative Software Engineer - Systematic Hedge Fund in new york at Unknown Company
This position is listed as full time and onsite.