Crypto Quantitative Researcher

DUOTECH PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A quantitative research firm in Singapore is looking for a Quantitative Researcher to lead model development for trading and risk analytics. The ideal candidate will have over 3 years of experience in quantitative research and be proficient in Python and SQL. You will work closely with trading teams to implement strategies and mentor junior members. This role offers a dynamic environment at the forefront of crypto and multi-asset trading.

Qualifications

• 3+ years in quantitative research, trading, or risk analytics.
• Proficient in Python (pandas, NumPy, scikit-learn), SQL, and PySpark.
• Deep understanding of statistics, financial modeling, and experimental design.

Responsibilities

• Lead quantitative research and model development.
• Frame research hypotheses and engineer features.
• Productionize strategies and monitor models in live trading.

Skills

Quantitative research

Python

Market-making

Statistics

Risk analytics

Tools

SQL

PySpark

Databricks

Job description

The Opportunity

Join our expanding quantitative research function and help design, build, and productionize models for crypto and multi-asset trading environments—from exchange-style setups to broker-dealer trading desks. You'll have direct exposure to live trading, market-making, and risk analytics, working at the intersection of technology and the fastest-evolving financial markets.

Core Responsibilities

• Lead quantitative research and model development for trading, risk analytics, and market-making strategies in exchange or broker trading desk environments.
• Frame research hypotheses, engineer features, select and calibrate models, and run robust, time-aware backtests using large-scale, real-world trading data.
• Productionize strategies: deploy, monitor, and iterate on models in live trading and execution pipelines.
• Collaborate closely with the dealing team and stakeholders for direct impact on strategy decisions and execution.
• Mentor junior quants; set technical standards for research quality, code, and documentation.
• Clearly communicate findings and actionable insights to both technical and non-technical teams.

Advanced/Plus

• Experience with market-making, liquidity provision, or execution algorithms in crypto or traditional markets.
• Experience with cryptocurrency exchange platforms is a plus
• Strong background in market microstructure analysis or high-frequency signals.
• Practical experience with cost-sensitive strategies, P&L attribution, and post-trade analytics.
• Rapid experimentation and impact-driven research mindset.

Minimum Qualifications

• 3+ years in quantitative research, trading, or risk analytics
• Proficient in Python (pandas, NumPy, scikit-learn), SQL, and PySpark/Spark (Databricks experience a plus).
• Deep understanding of statistics, financial modeling, and experimental design.
• Track record of delivering research to production: hypothesis → backtest → calibration → monitored rollout.
• Excellent communicator and mentor.

Nice to Have

• Exposure to crypto/CFD/gold/FX/derivatives.
• Experience in market-making or trading strategy optimization.