AI and Trading Analytics Researcher-AVP

The AI and Trading Analytics Researcher (Assistant Vice President) 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 will also contribute to the development of an agentic AI platform, empowering trading and sales desks to derive insights more efficiently.

Working with senior researchers, traders, and technology partners, the AI and Trading Analytics Researcher contributes to end‑to‑end research, from idea generation and model development through validation and implementation. The role emphasizes robust, interpretable, and scalable approaches that bridge academic research, empirical market analysis, and real‑world trading application.

• 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 machine learning 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.

• 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.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans);

and, eligibility for certain tax‑advantaged savings plans. For a full overview, visit

$175,000 - $175,000 Annual

State Street is an equal opportunity and affirmative action employer. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job : R-792986