Quantitative Researcher
Core
Build models, strategies, and systems to price and trade financial instruments using statistical and machine learning techniques.
Role type
Quantitative Researcher (IC)
Builds
Trading strategies and pricing models for financial instruments
Domain
Finance / 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, Mathematical thinking
Preferred skills
Deep learning, Distributed training optimization, Hyperparameter tuning
Technologies
Python, GPU clusters
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.