Quantitative Researcher
Core
Build models, strategies, and systems to price and trade financial instruments using statistical and machine learning techniques.
Role type
Quantitative Researcher (ML/Stats)
Builds
Trading strategies and pricing models for financial instruments
Domain
Financial Markets / Quantitative Trading
Deliverable
production ML models
Required skills
Time series analysis, Feature engineering, Model building, Experiment design, Dataset generation, Python programming, Statistical modeling, Machine learning, Distributed training debugging
Preferred skills
PhD, Research experience, Deep learning expertise
Technologies
Python, GPU clusters, High-performance computing
Responsibilities
Apply statistical and ML techniques to financial datasets, tune hyperparameters, debug distributed training performance, study model behavior in production, collaborate with engineers and traders to refine approaches
Seniority
Mid-Senior, hands-on IC