Quantitative Trading Researcher (Market-Making & ML)

HKDAG (Singapore) Pte. Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

HKDAG (Singapore) Pte. Ltd. seeks a Quantitative Researcher to own strategies end-to-end—from idea and data through implementation and live trading—in a compact, high-responsibility team.

You will design market-making and systematic trading models, analyze market microstructure across venues, and build research infrastructure in Python and Rust, collaborating closely with traders and engineers to iterate quickly.

Qualifications

• Degree in a quantitative or technical discipline; advanced degree welcome but not required.
• 0–5 years of experience in quantitative research or market making; full-cycle experience preferred.
• Strong understanding of markets, order-book dynamics, and risk.

Responsibilities

• Research, design and implement market-making and systematic trading strategies; take from prototype to live trading.
• Analyze market microstructure across venues and adapt strategies accordingly.
• Build predictive models from order-book, trade, funding and on-chain data using statistical and ML methods; validate with backtesting.
• Monitor live strategies; review parameters and P&L; iterate with traders and engineers.
• Contribute to research infrastructure, simulation, back testing and data pipelines in Python and Rust.
• Evaluate new venues, instruments and data sources for new strategies.

Skills

Python

Rust

C++

Java

Statistics

Machine learning

Education

Bachelor's degree in a quantitative or technical discipline

Tools

Git

SQL

Job description

HKDAG (Singapore) Pte. Ltd. seeks a Quantitative Researcher to own strategies end-to-end—from idea and data through implementation and live trading—in a compact, high-responsibility team.

You will design market-making and systematic trading models, analyze market microstructure across venues, and build research infrastructure in Python and Rust, collaborating closely with traders and engineers to iterate quickly.