Level

State Street

AI and Trading Analytics Researcher, Officer, Onsite

State Street is hiring an AI and Trading Analytics Researcher, Officer, Onsite in Cambridge, United Kingdom. It pays $125k-$144k a year and Level rates it ; you can apply on State Street.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions quantitative research, machine learning and trading analytics among its tools and skills.
  • Level classes it as a mid-level role.
  • State Street has 1,300+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Conduct quantitative research and develop systematic trading models and agentic AI platforms for financial markets.

quantitative-researchmachine-learningtrading-analyticspythonstatistical-modeling

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 we rate this

AI and Trading Analytics Researcher, Officer, Onsite at State Street rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Quantitative ResearchMachine learningTrading AnalyticsPythonStatistical Modeling

Questions you could be asked

  1. Tell me about a project where quantitative research was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where trading analytics was part of your work. What did you do?
  4. Tell me about a project where python was part of your work. What did you do?
  5. Tell me about a project where statistical modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Quantitative Research, Machine learning, Trading Analytics, Python, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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