Quantitative Researcher - Experienced (DV QES)

About the role

DV Trading, part of the DV Group of financial services firms, is looking for an experienced Quantitative Researcher to join its equities team. The role suits candidates with hands-on experience in multi-frequency signal research across different time horizons. You will work closely with senior researchers and traders across the global offices in NYC, London and Hong Kong to explore market data, develop predictive signals and build models that inform real trading decisions. It is a full-cycle research role, from data exploration to production deployment, with end-to-end ownership of the research process.

Key responsibilities

• Analyze market data to uncover patterns, inefficiencies and predictive signals across different time horizons
• Build and backtest quantitative models using historical market data
• Apply statistical and machine learning techniques, with an emphasis on tree-based methods, to improve signal quality
• Work with researchers and traders to turn research insights into production-ready strategies
• Develop and maintain data pipelines for large-scale, high-frequency and time-series market data
• Monitor and iterate on live signals and models based on performance

Required profile

• 2+ years of professional or research experience in high-frequency research and/or longer-term signal generation
• Degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering or a related field
• Solid foundation in statistics and quantitative analysis
• Genuine curiosity about financial markets and market microstructure
• Ability to explain technical findings clearly to both technical and non-technical audiences

Required skills

• Strong Python, including standard data science libraries such as pandas and NumPy
• Familiarity with tree-based methods (Random Forest, XGBoost, LightGBM) is a plus
• Proprietary trading or hedge fund experience is a plus
• Experience with C++ or other low-level languages is a plus