Quantitative Researcher Graduate (2027 Cohort)

About the role

DV Trading, part of the DV Group of financial services firms, is looking for a 2027 Quantitative Researcher Graduate to join its equities team. You will take direct ownership of systematic signal generation across multiple time horizons, working alongside senior researchers and traders to explore market data, develop predictive signals and build models that inform real trading decisions. The role suits recent graduates with a strong quantitative background and hands-on experience in high-frequency orderbook research or longer-term signal generation.

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 in a simulation environment
• Apply statistical and machine learning techniques, with an emphasis on tree-based methods, to improve signal quality
• Work with traders and researchers to turn research insights into robust trading strategies
• Help develop and maintain data pipelines for large-scale, high-frequency and time-series market data
• Iterate on research prototypes based on backtest results and team feedback, with increasing independence
• Monitor live strategy performance and refine models based on real market feedback

Required profile

• Currently pursuing a Bachelor's, Master's or PhD in Mathematics, Statistics, Economics, Computer Science, Physics, Engineering or a related field, with an expected graduation by Summer 2027
• Strong foundation in mathematics, probability and statistics
• Genuine interest in financial markets, algorithmic trading and market microstructure
• Ability to learn quickly and perform well in a fast-paced, high-pressure environment, staying calm and communicating clearly under pressure
• Prior internship experience in trading, quantitative research or data analysis is a plus

Required skills

• Strong proficiency in Python
• Experience with SQL, statistical modeling or C++ is highly preferred