Alpha Researcher for Mid-Frequency Equity Quant

DRW; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

DRW is seeking a Quantitative Researcher to advance alpha generation and model development for mid-frequency equity statistical arbitrage strategies. You will collaborate with the Portfolio Manager and team across data processing, feature engineering, backtesting, and live deployment.

The role demands 2–8 years in quant equities, strong Python skills, and experience with PIT data handling. It offers a rigorous, analytical environment in a global firm with diverse assets.

Qualifications

• 2–8 years of experience in quant equities, with a focus on alpha research.
• Experience with standard and alternative datasets used in equity stat arb strategies, including data cleansing and PIT handling.
• Strong Python programming; experience with SQL and distributed data environments.

Responsibilities

• Research, design, and implement predictive signals and features for global equities.
• Build and maintain PIT data pipelines and feature engineering.
• Collaborate on research infrastructure, backtesting frameworks, and analytical tools.
• Develop frameworks for performance attribution and live strategy monitoring.

Skills

Python

SQL

Data processing

Quant research

Education

PhD or MSc in a quantitative field

Job description

DRW is seeking a Quantitative Researcher to advance alpha generation and model development for mid-frequency equity statistical arbitrage strategies. You will collaborate with the Portfolio Manager and team across data processing, feature engineering, backtesting, and live deployment.

The role demands 2–8 years in quant equities, strong Python skills, and experience with PIT data handling. It offers a rigorous, analytical environment in a global firm with diverse assets.