
AI and Trading Analytics Researcher, AVP
- Cambridge
- Permanent
- Full-time
- Design and test quantitative models to meet specific trading business needs.
- Develop code, product specifications, and processes for implementation.
- Work directly with subject area experts from across many Global Markets businesses to document needs, prototype new ideas, and deliver products.
- Apply statistics, advanced prediction, machine learning / AI, and other techniques and rigorously test the efficacy of models, strategies, data-driven processes, and infrastructure.
- Advanced degree and/or proven experience in a quantitative field such as finance, economics, mathematics, computer science, or a related discipline.
- 3-5 years’ work experience in investment management, investment research, data science, or a similar field involving quantitative techniques for data and analysis.
- Strong familiarity with theoretical and practical concepts in data analytics for investing, statistical analysis, time series forecasting, classical statistics, and machine learning / AI.
- Strong familiarity with concepts in investment management, asset allocation, risk management, and investment strategy design.
- Highly proficient coding skills (Python preferred) and attention to detail.
- Highly effective communication skills and ability to collaborate successfully.