AI and Trading Analytics Researcher-AVP

About the role

The AI and Trading Analytics Researcher (AVP) will be a member of the AI and Trading Analytics team within State Street Associates (SSA), the quantitative research division of State Street Markets. The team conducts quantitative research on financial markets, developing systematic trading models, alpha signals, and analytics that support Markets trading businesses (FX, Financing Solutions, etc.). They also contribute to the development of an agentic AI platform, empowering trading and sales desks to derive insights more efficiently.

Responsibilities

• Design and test quantitative models, trading analytics, and alpha signals to address specific Markets business needs.
• Work closely with SSA research experts and academic collaborators to incorporate advanced research ideas into practical internal trading analytics and models.
• Apply statistical methods and ML to extract insights from large financial datasets and proprietary SSA research indicators.
• Develop research code, AI-based analytical tools, and model specifications in Python, Matlab, SQL, supporting implementation and reuse.
• Collaborate directly with traders and subject matter experts while embedded on the trading floor to prototype ideas and refine models.
• Translate research findings into internal tools, systematic indicators, and client-facing materials.
• Communicate results clearly through written analysis and presentations for internal and external audiences.

Qualifications

• 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.
• Proficient coding skills (Python preferred) and attention to detail.
• Highly effective communication skills and ability to collaborate successfully.