Quantitative Researcher
Core
Develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes.
Role type
Quantitative Researcher (IC)
Builds
Automated trading strategies and algorithmic trade prototypes
Domain
Financial markets (Fixed Income, Equities, FX, Commodities, Energy, Cryptoassets)
Deliverable
production ML models
Required skills
Statistical learning, machine learning algorithms, mathematical modeling, signal processing, optimization, large data set handling, programming (Python, R, MATLAB, C++)
Preferred skills
None stated
Technologies
Python, R, MATLAB, C++
Responsibilities
Extract predictive signals from financial data using statistical analysis and machine learning; assist software developers to translate research strategies into production software; optimize order execution and risk management; formulate and apply mathematical modeling techniques to enhance trading strategies; automate human-decision based trading strategies and prototype algorithmic trades
Seniority
Mid-level (Graduating 2026-2027)