Quantitative Trader Intern

About the role

You’ll learn trading from the inside, working at the intersection of technology and finance across traditional and digital assets — helping research signals, analyse execution, and monitor risk while building the instincts of a professional trader.

Duration

3–6 months (flexible start; full-time preferred)

Location

Remote, or our Singapore or New York office

Who it's for

Students, recent graduates, or early-career quants eager to learn trading from the inside.

What you'll do

• Research, prototype, and backtest medium- and high-frequency trading signals alongside senior traders.
• Monitor live positions and market conditions, flagging anomalies and risk events in real time.
• Analyse execution quality and post-trade performance to reduce slippage and cost.
• Study market microstructure, order-book dynamics, and the mechanics of the exchanges we trade.
• Build small tools and dashboards that make the desk faster and better informed.
• Work with researchers and developers to move ideas from notebook to production.

What you bring

• A strong quantitative foundation (Mathematics, Statistics, Physics, Computer Science, Engineering, or similar).
• Programming ability in Python (C++ or Rust a plus) for analysis and rapid prototyping.
• Genuine curiosity about markets and a disciplined, probabilistic view of risk.
• Composure under pressure and quick, data-driven judgment.
• High attention to detail and a strong sense of ownership.
• Fluency in English is required.

What you'll get

• Hands-on exposure to live trading, real strategies, and real risk from day one.
• Mentorship from experienced traders and quantitative researchers.
• 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.