State Street logo

AI and Trading Analytics Researcher, Officer, Onsite

State Street

Boston, MAFull-time$125–144K/yrPosted 2 days agoStill listed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$125–144K/yr
Location
Boston, MA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The AI and Trading Analytics Researcher will join State Street Associates’ quantitative research team, developing systematic trading models, alpha signals, and analytics for Markets businesses. The role contributes to research from idea generation through validation and implementation, and supports an agentic AI platform for trading and sales desks. The team works across Boston’s trading floor and Cambridge’s research office, collaborating with researchers, traders, academics, and technology partners.

Skills & qualifications

RequiredNice to have

Skills

Python (Programming Language)SQL (Programming Language)Data AnalysisMachine LearningData ScienceQuantitative ResearchStatistical AnalysisTime Series MethodsData AnalyticsArtificial IntelligenceFinancial MarketsInvestment ManagementAsset AllocationRisk ManagementInvestment StrategiesInitiativeProblem SolvingAttention to DetailWritten CommunicationVerbal CommunicationCollaboration

Qualifications

Advanced Degree or Relevant Experience1+ Years Work Experience

Benefits

401(k) Match
Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Full job description

Who We Are Looking For The AI and Trading Analytics Researcher (Officer) 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, Securities Lending, etc.). They will also contribute to the development of an agentic AI platform, empowering trading and sales desks to derive insights more efficiently.

The AI and Trading Analytics team operates at the intersection of quantitative research, markets, and technology. Team members work in a hybrid model, spending part of the week embedded on the Markets trading floor at One Congress (OCB) in Boston and part of the week at SSA’s research office in Cambridge. This structure enables close, continuous collaboration with traders while situating the work within a rigorous research environment.

State Street Associates provides the broader research platform in which the team operates. SSA is a long‑standing partnership between State Street Markets and leading academics, focused on proprietary indicators and novel empirical methods. Within this context, the AI & Trading Analytics team collaborates closely with SSA researchers and academic partners, applying statistical and ML techniques to extend core research insights into systematic strategies and predictive signals for internal trading desks.

Working with senior researchers, traders, and technology partners, the AI & 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.

Why this role is important to us The team you will be joining is a part of State Street Markets. As a leading provider of trading and lending solutions to the world’s institutional investors, we deliver the industry’s most innovative platforms, financing and portfolio solutions. Our capabilities are backed by proprietary, high-value research, insights and indicators that power clients’ investment decisions, accelerate performance and help investors stay ahead of shifting markets. Across our comprehensive set of solutions – data-driven macro market intelligence that give an information advantage; client-first platforms and tools that redefine trading; financing solutions that streamline liquidity access; and portfolio solutions designed to help achieve peak performance – we deliver a breakthrough edge to drive business success.

What You Will Be Responsible For As an AI & Trading Analytics Researcher, Officer you will:

  • Support the development and testing of quantitative models, trading analytics, and alpha signals to address specific Markets business needs.
  • Work with SSA research experts and academic collaborators to help translate advanced research ideas into practical internal trading analytics and models.
  • Apply established statistical methods and ML to extract insights from large financial datasets and proprietary SSA research indicators.
  • Develop and maintain research code, AI-based analytical tools, and model components in Python and SQL, supporting implementation and reuse.
  • Collaborate with traders and subject matter experts while embedded on the trading floor to test ideas, gather feedback, and refine analytical approaches.
  • Support the translation of research findings into internal tools, systematic indicators, and client‑facing materials.
  • Communicate results clearly through written analysis, documentation, and presentations for internal and external audiences.

What We Value We are looking for highly motivated, quantitatively minded candidates with a strong interest in financial markets and a desire to learn, develop, and apply new research ideas in a practical setting. Successful candidates will have a strong desire to learn and take initiative in solving problems, including a willingness to investigate unfamiliar topics, ask thoughtful questions, seek input from others, and develop their technical and market knowledge over time.

Education & Preferred Qualifications

  • 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 field involving quantitative analysis.
  • Strong quantitative and analytical foundations, with familiarity with statistical analysis, time series methods, data analytics, and machine learning / AI.
  • Demonstrated interest in financial markets, with familiarity with concepts in investment management, asset allocation, risk management, or investment strategies.
  • Strong coding skills (Python preferred), with a willingness to develop technical proficiency.
  • Proactive, motivated, and detail-oriented, with a willingness to take initiative, work through problems, incorporate feedback, and produce accurate analysis.
  • Highly effective written and verbal communication skills and the ability to collaborate successfully with researchers, traders, and other stakeholders.

Salary Range: $125,000 - $143,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

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 https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

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.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Job Application Disclosure: 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.

How this job compares

Set against the 1,740 open Data Science jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$125–144K/yr
  • Massachusetts median$137–235K/yr47 salary ranges
  • US median$136–239K/yr1,292 salary ranges

This range's midpoint, $134K, is 28% below the Massachusetts median midpoint ($186K) — in the lowest quarter of Data Science salary ranges in Massachusetts.

Openings
Olive Jobs lists 59 open Data Science jobs in Massachusetts and 1,740 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,400 postings).
Education
889 of the 1,740 open Data Science jobs (51%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.