Jobs · Finance

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.

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