Analyst, Data Scientist
Core
Develop and implement advanced analytics and machine learning models to support algorithmic trading strategies and drive business decisions in the front office, Investment Banking, and Corporate Banking.
Role type
Data Scientist (Algorithmic Trading & Financial Analytics)
Builds
Predictive models for algorithmic trading across Equities, Fixed Income, Commodities, and Foreign Exchange; reproducible ML pipelines for production.
Domain
Financial Services / Algorithmic Trading / Machine Learning
Deliverable
production ML models
Required skills
Statistical modeling, time series analysis, machine learning frameworks, Python, cloud technologies, financial data analysis
Preferred skills
Generative AI, Reinforcement Learning, MLOps tools, investment banking concepts, trading strategies
Technologies
Python, Bloomberg, FactSet, Thomson Reuters
Responsibilities
Develop and implement advanced analytics and ML models using Generative AI, Deep Learning, and Reinforcement Learning; Build predictive models for algorithmic trading; Collaborate with trading desks and investment banking teams to optimize strategies; Research and experiment with new ML techniques; Design and maintain reproducible ML pipelines; Analyze large datasets to extract insights; Visualize complex data for business consumption.
Seniority
Mid-level (2+ years experience or Master's degree)