AI and Trading Analytics Researcher

State Street

. Support development and testing of quantitative models, trading analytics, and alpha signals for Markets business needs .

Posted 10/23/2026full-timeCambridge • Massachusetts • United StatesJunior💰 $125,000 - $143,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, statistical methods, and machine learning applied to financial datasets. Proficient in developing analytical tools and models using Python and SQL while effectively communicating findings to diverse audiences.

Highest-signal resume keywords

Quantitative AnalysisStatistical MethodsMachine LearningPython ProgrammingInvestment Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical MethodsMachine LearningPython ProgrammingSQLData AnalyticsTime Series AnalysisFinancial ModelingResearch Code DevelopmentAlpha Signal Development

Soft Skills

Effective CommunicationDetail-OrientedProactiveCollaborativeInitiative

Tools & Technologies

AI-Based Analytical ToolsTrading AnalyticsResearch Code

Industry Keywords

Investment ManagementAsset AllocationRisk ManagementFinancial MarketsInvestment Strategies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support development and testing of quantitative models, trading analytics, and alpha signals for Markets business needs
Work with SSA research experts and academic collaborators to translate advanced research into practical internal trading analytics and models
Apply statistical methods and machine learning to large financial datasets and proprietary SSA research indicators
Develop and maintain research code, AI-based analytical tools, and model components in Python and SQL
Collaborate with traders and subject matter experts on the trading floor to test ideas, gather feedback, and refine analytical approaches
Translate research findings into internal tools, systematic indicators, and client-facing materials
Communicate results through written analysis, documentation, and presentations for internal and external audiences

Requirements

What you’ll need

Advanced degree and/or relevant experience in a quantitative field such as finance, economics, mathematics, computer science, or a related discipline
1–4 years’ work experience in investment management, investment research, quantitative research, data science, or a similar quantitative-analysis field
Strong quantitative and analytical foundations
Familiarity with statistical analysis, time series methods, data analytics, and machine learning/AI
Demonstrated interest in financial markets
Familiarity with investment management, asset allocation, risk management, or investment strategies
Strong coding skills, with Python preferred
Willingness to develop technical proficiency
Proactive, motivated, and detail-oriented
Ability to take initiative, work through problems, incorporate feedback, and produce accurate analysis
Highly effective written and verbal communication skills
Ability to collaborate successfully with researchers, traders, and other stakeholders

Benefits

Comp & perks

Retirement savings plan (401K) with company match
Basic life insurance
Medical insurance
Dental insurance
Vision insurance
Long-term disability insurance
Optional additional insurance coverages
Paid vacation leave
Paid sick leave
Short-term disability
Family care leave/responsibilities support
Employee Assistance Program
Incentive compensation, including eligibility for annual performance-based awards
Certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks