Quantitative Researcher: Market-Making & Live Trading

Unchain Data; Singapore; Hybrid; SGD 120,000 - 240,000; Full time

Job summary

Unchain Data seeks a Quantitative Researcher to join a small team owning strategies end-to-end—from data and idea to live performance. You will research, design and implement market-making and systematic trading strategies, and deploy them with rigorous backtesting and simulation.

You will analyze market microstructure, build predictive models from diverse data sources, and monitor live strategies with traders and engineers. Proficiency in Python; Rust preferred; C++/Java useful.

Qualifications

• Degree in a quantitative or technical discipline (e.g. mathematics, physics, statistics, computer science, engineering).
• 0–5 years of experience in quantitative research or market making; exceptional new grads considered.
• Strong understanding of markets: order-book dynamics, risk, and funding.
• Proficiency in Python for research; Rust preferred; C++/Java useful.

Responsibilities

• Research and design market-making and systematic trading strategies from prototype to live trading.
• Analyze market microstructure across venues and adapt strategies accordingly.
• Build predictive models from order-book, trade and on-chain data using statistical methods.
• Backtest and validate models with rigorous simulations.
• Maintain research infrastructure: simulation, backtesting and data pipelines in Python and Rust.

Skills

Quantitative research

Market understanding

Backtesting

Python for research

Statistical modeling

Education

Bachelor's degree in mathematics/physics/statistics/CS/engineering

Advanced degree welcomed

Tools

Python

Rust

C++

Java

Job description

Unchain Data seeks a Quantitative Researcher to join a small team owning strategies end-to-end—from data and idea to live performance. You will research, design and implement market-making and systematic trading strategies, and deploy them with rigorous backtesting and simulation.

You will analyze market microstructure, build predictive models from diverse data sources, and monitor live strategies with traders and engineers. Proficiency in Python; Rust preferred; C++/Java useful.