Expressions of Interest - Graduate Quantitative Researcher 2027
Core
Develop, refine, and implement statistical and machine learning models to drive trading strategies and price financial instruments in global financial markets.
Role type
Graduate quantitative researcher (IC)
Builds
Trading strategies, pricing engines, and quantitative models for financial derivatives
Domain
Financial markets / Quantitative finance / High-frequency trading
Deliverable
production ML models
Required skills
Statistical modeling, machine learning, stochastic modeling, big data analysis, programming (C/C++/Python/Java), quantitative analysis
Preferred skills
Experience with option theory, high-performance implementation, hypothesis testing
Technologies
Big data technologies, pricing libraries, stochastic models
Responsibilities
Develop innovative solutions using statistical models and machine learning; analyze high-frequency trading strategies and market microstructure; build stochastic models to determine fair value of derivatives; combine quantitative analysis with high-performance implementation for pricing engines
Seniority
Graduate (entry-level with training program)