Quantitative Researcher

About Us

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

The Role

We are looking for a hands-on Quantitative Researcher to join our systematic trading desk in Singapore. This role is built for someone who thrives in owning the full research lifecycle — from raw data ingestion through to live signal deployment. You will lead the buildout of our research infrastructure and drive alpha generation focused on market microstructure and relative value strategies, working closely with our trading and development teams.

Responsibilities

• Own the end-to-end research pipeline: data ingestion, cleaning, storage, and versioning through to signal research, backtesting, and production deployment
• Design and build scalable research infrastructure and frameworks in Python, in partnership with the development team
• Develop and refine signals grounded in market microstructure analysis — order flow, liquidity dynamics, tick data patterns, and execution analytics
• Research and model relative value opportunities across equities, futures, and derivatives within APAC and global markets
• Conduct rigorous statistical analysis to evaluate signal quality, decay, and capacity constraints
• Collaborate with traders to translate research into deployable strategies with well-defined risk parameters
• Drive continuous improvement of existing strategies through systematic performance analysis, signal refinement, and execution optimization
• Continuously improve tooling, research workflows, and data coverage to accelerate the research cycle

Requirements

• 3+ years of experience in a quantitative research or systematic trading role
• Strong Python skills across the research stack — data engineering, statistical analysis, backtesting, and visualization (pandas, numpy, scipy, and similar)
• Demonstrated experience building research infrastructure or frameworks from the ground up
• Deep understanding of market microstructure — order book dynamics, execution quality, and intraday price formation
• Experience researching relative value strategies across equities, futures, or other liquid instruments
• Rigorous statistical mindset with strong emphasis on out-of-sample validation and avoiding overfitting
• Familiarity with APAC market structure and exchange mechanics in one or more target markets

Nice to Have

• Experience with high-frequency or tick-level data pipelines
• Background in signal research across multiple asset classes or geographies
• Exposure to a prop trading or quantitative hedge fund environment
• Familiarity with SQL, cloud data infrastructure, or distributed computing frameworks