Quantitative Analyst – Quant Analyst Program
Core
Early-career quantitative analyst developing cross-asset systematic investment strategies through a structured 18–24 month program involving research, modeling, and rotation across asset classes.
Role type
Junior quantitative researcher (systematic trading)
Builds
Quantitative investment strategies across equities, fixed income, commodities, credit, and FX
Domain
Financial markets / Systematic investing
Deliverable
production ML models
Required skills
Python, SQL, statistics, probability, optimization, empirical modeling, backtesting, portfolio construction, risk modeling, transaction cost modeling
Preferred skills
C++, derivatives, machine learning, time series analysis, large datasets
Technologies
pandas, NumPy, SciPy, Polars, scikit-learn
Responsibilities
Conduct original research and develop new signals and features; Build and improve shared research infrastructure including data pipelines and models; Analyze strategy performance for robustness and risk; Rotate through asset class research; Partner with senior quants to move ideas to production; Present research in team seminars
Seniority
Junior, early-career development program