Vice President, Data Scientist
Core
Developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies and drive business decisions in front office, Investment Banking, and Corporate Banking.
Role type
Vice President, Data Scientist (Senior IC)
Builds
Predictive models for algorithmic trading across Equities, Fixed Income, Commodities, and Foreign Exchange; scalable AI-enabled products for multiple business units.
Domain
Capital Markets / Financial Services
Deliverable
production ML models
Required skills
Statistical modeling, time series analysis, machine learning frameworks, Python, cloud technologies, Generative AI, Deep Learning, Reinforcement Learning, MLOps
Preferred skills
Capital markets experience, investment banking concepts, trading strategies, financial data formats
Technologies
Python, Bloomberg, FactSet, Thomson Reuters, Generative AI, Deep Learning, Reinforcement Learning
Responsibilities
Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning; Build predictive models for algorithmic trading across asset classes; Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies; Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability; Design and maintain reproducible machine learning pipelines for production environments; Analyze large datasets to extract insights and support strategic decision-making.
Seniority
Vice President, Senior hands-on IC with strategic impact