State Street
financial services
AIandTradingAnalyticsResearcher,AVP
“AI and Trading Analytics Researcher, AVP at State Street. Skills: quantitative research, trading analytics, AI, machine learning, statistical methods. Design and test quantitative models, trading analytics, and alpha signals to address specific Markets business needs. Apply statistical methods and ML to extract insights from large financial datasets and proprietary SSA research indicators”
What You'll Achieve.
support Markets trading businesses (FX, Financing Solutions, etc. . ); derive insights more efficiently; extend core research insights into systematic strategies and predictive signals for internal trading desks; bridge academic research, empirical market analysis, and real‑world trading application; address specific Markets business needs; support implementation and reuse; prototype ideas and refine models; Translate research findings into internal tools, systematic indicators, and client‑facing materials
Industry & Context.
quantitative research; data analytics; statistical analysis; machine learning / AI
What They're Looking For.
Must Have
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, Highly proficient coding skills (Python preferred), Highly effective communication skills
Nice to Have
familiarity with theoretical and practical concepts in data analytics for investing, statistical analysis, time series forecasting, classical statistics, and machine learning / AI, familiarity with concepts in investment management, asset allocation, risk management, and investment strategy design
What You'll Do.
Design and test quantitative models
and alpha signals to address specific Markets business needs
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
supporting implementation and reuse
Translate research findings into internal tools
systematic indicators
and client‑facing materials
How You'll Work.
Team & Collaboration
Work closely with SSA research experts and academic collaborators to incorporate advanced research ideas into practical internal trading analytics and models; Collaborate directly with traders and subject matter experts while embedded on the trading floor to prototype ideas and refine models; Collaborates closely with SSA researchers and academic partners; Working with senior researchers, traders, and technology partners; ability to collaborate successfully
Communication Scope
Communicate results clearly through written analysis and presentations for internal and external audiences; Highly effective communication skills
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