Quantitative Researcher: Market‑Making & Live Trading

HashKey Liquid Funds; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

HashKey Capital in Singapore is seeking a Quantitative Researcher to join a small, end-to-end team responsible for idea generation, data work, implementation and live deployment of trading strategies. You will design and backtest market-making and systematic strategies, analyze market microstructure, and build models using order-book, trade, funding and on-chain data with Python and Rust.

Collaboration with traders and engineers is essential.

Qualifications

• Degree in mathematics, physics, statistics, computer science or engineering.
• 0–5 years in quantitative research, systematic trading or market making in crypto or traditional markets.
• Solid understanding of markets: order-book dynamics, adverse selection, inventory and funding risk.
• Strong Python for research and data analysis; Rust preferred; C++/Java useful.
• Comfortable with large, noisy, irregularly sampled datasets and stats to draw careful conclusions.
• Disciplined about risk, monitoring and documentation when several strategies run simultaneously.
• Curious, self-directed and precise; able to communicate with researchers and engineers.

Responsibilities

• Research, design, and implement 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, funding, and on-chain data using statistical and machine-learning methods; backtest and simulate.
• Monitor and improve live strategies: review parameters, diagnose P&L and inventory behavior, iterate with traders/engineers.
• Contribute to research infrastructure – simulation, backtesting and data pipelines – in Python and Rust.
• Evaluate new venues, instruments, protocols and data sources for new strategies.

Skills

Quantitative reasoning

Backtesting

Data analysis

Market understanding

Education

Quantitative discipline degree

Tools

Python

Rust

C++

Java

Job description

HashKey Capital in Singapore is seeking a Quantitative Researcher to join a small, end-to-end team responsible for idea generation, data work, implementation and live deployment of trading strategies. You will design and backtest market-making and systematic strategies, analyze market microstructure, and build models using order-book, trade, funding and on-chain data with Python and Rust.

Collaboration with traders and engineers is essential.