Quantitative Developer Intern
Sryantra Capital · Utica-Rome Area · 1 mo ago
FinanceInternship
About the role
You’ll work on a real project that matters, paired with an experienced mentor, writing software that improves live trading strategies or the systems behind them — and seeing first-hand how a modern quant desk turns research into execution.
Duration and location
Duration: 10–12 weeks (flexible start; full-time preferred)
Location: Remote, or our Singapore or New York office
Who it’s for
Students pursuing a degree in CS, engineering, or a related quantitative field who love to build.
What you’ll do
- Build or extend a real trading-system tool, feature, or strategy alongside your mentor.
- Write software that improves live trading strategies or infrastructure.
- Apply quantitative modelling to understand and predict market behaviour.
- Work with large-scale research infrastructure — big datasets and serious compute.
- Get exposure to our production stack, including tools or languages you haven’t used before.
- Collaborate closely with traders, researchers, and engineers on real problems.
What you bring
- Currently pursuing a degree in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field.
- Strong programming ability with solid data-structures and algorithms fundamentals.
- Demonstrated coding through projects, competitions, or coursework.
- Sound quantitative and analytical reasoning (probability, statistics).
- Strong communication and a collaborative, think-aloud approach to problem-solving.
- Curiosity and the drive to pick up unfamiliar tools quickly.
- Fluency in English is required.
Nice to have
- Prior internship or research experience in quant finance or systems programming.
- Linux and Git exposure.
- Machine-learning coursework or projects.
- A genuine interest in markets (helpful, not required).
What you’ll get
- A real production project with direct mentorship from full-time engineers and researchers.
- Hands-on exposure to how research becomes live trading.
- Competitive, performance-linked compensation.
- A meritocratic, high-ownership environment where good ideas win regardless of seniority.
- A clear path to a full-time role for strong performers.
- Flexibility to work remotely or from our Singapore or New York office.