Vice President, Data Science
Core
Develop advanced analytics and machine learning models (Generative AI, Deep Learning, Reinforcement Learning) for predictive trading algorithms across equities, fixed income, commodities, and foreign exchange.
Role type
Vice President, Data Science (Capital Markets)
Builds
Predictive trading algorithms and reproducible machine learning workflows for production settings
Domain
Financial services / Capital Markets / Investment Banking
Deliverable
production ML models
Required skills
Statistical modeling, time series analysis, machine learning frameworks, Python programming, cloud technologies, financial tools (Bloomberg, FactSet, Thomson Reuters)
Preferred skills
Capital markets experience, expertise in Generative AI, Deep Learning, and Reinforcement Learning
Technologies
AI, Cloud, Machine Learning, Python, Support, Network
Responsibilities
Create and implement advanced analytics and machine learning models; Develop predictive algorithms for trading across various asset classes; Work alongside trading desks, investment banking teams, and corporate banking partners to uncover opportunities; Investigate new machine learning methodologies to boost trading effectiveness; Design and uphold reproducible machine learning workflows for production settings; Examine large datasets to extract actionable insights; Convey complex technical ideas to non-technical stakeholders and present findings to upper management; Effectively visualize intricate data for business use