Machine Learning Quantitative Research Analyst

State Street Corporation

Cambridge (MA)

Hybrid

USD 110,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Hybrid remote work

Job summary

State Street Bank and Trust Company in Cambridge, MA seeks a Machine Learning Quantitative Research Analyst to advance research and product development in AI/ML for economics and finance. You will co-author white papers, translate research into practical tools, and build Python calculation engines for internal and client-facing use.

The role requires a Master’s in a quantitative field and 3+ years of buy-side/sell-side research experience, with strong skills in Python, MATLAB, SQL, Excel, and

Qualifications

  • Master’s degree in mathematics, statistics, operations research or related quantitative field with 3 years of experience in quantitative research.
  • Hands-on ability with Excel, PowerPoint, MATLAB, Python, SQL.
  • Experience applying machine learning techniques to financial and economic data.
  • Knowledge of simulation techniques (Monte Carlo, Bootstrap), econometric techniques, and statistical techniques (regression, PCA).
  • Knowledge of Portfolio theory, mean-variance optimization, back testing, and designing investment strategies.
  • Experience with asset pricing models, FX market analysis, and macro factors affecting the market.
  • Strong written communication skills suitable for authoring white papers and journal articles.

Responsibilities

  • Advance new research and product development in AI/ML for economics and finance.
  • Co-author white papers and journal articles with colleagues.
  • Translate academic research into practical applications and products (publications, indicators, tools).
  • Build calculation engines in Python for internal and client-facing tools.
  • Run customized analysis for clients and create written reports.
  • Engage with clients as a subject matter expert on related research.

Skills

Excel proficiency
PowerPoint
MATLAB
Python
SQL
Machine learning in finance
Econometrics
Statistics
Communication
Research/writing

Education

Master's degree in mathematics, statistics, operations research or related quantitative field

Tools

MATLAB
Python
SQL
Excel
PowerPoint

Job description

Machine Learning Quantitative Research Analyst (State Street Bank and Trust Company; Cambridge, MA): Will be a member of the Portfolio Management Research Team at State Street Associates, an investment research division of State Street Markets. This role will be responsible for advancing new research and product development in the form of thought leadership, market indicators, and analytical tools with a focus on the use of machine learning, financial econometrics, and data-driven techniques. Specific duties include: supporting the team’s new research on the thoughtful application of AI and machine learning to economics and finance; co-authoring white papers and journal articles in collaboration with colleagues; translating this academic research into practical applications and products (publications, indicators, tools, etc.); building calculation engines in Python for internal and client-facing tools; running customized analysis for clients and creating written reports; and engaging with clients as a subject matter expert on our related research. Hybrid remote telecommuting permitted pursuant to company policy.

Minimum Requirements: Master’s degree in mathematics, statistics, operations research or related quantitative field plus 3 years of experience in a buy-side or sell-side quantitative research role.

Must also have: professional hands-on ability with Excel, PowerPoint, MATLAB, Python, SQL; experience applying machine learning techniques to financial and economic data, theoretical and practical concepts in machine learning; experience working with simulation techniques (Monte Carlo, Bootstrap), econometric techniques, and statistical techniques (regression, principle components analysis); knowledge of Portfolio theory, mean-variance optimization, back testing, and designing investment strategies; experience with asset pricing models, FX market analysis, and macro factors that influence the market; and demonstrated written communication skills suitable for authoring white papers and journal articles, ability to explain complex concepts in a clear and concise manner. (Unless otherwise indicated, State Street is seeking the stated ability in the skills listed above with no specific number of years or amount of experience required. All experience can be gained concurrently.)

LI-DNI

Salary Range:
$110,000 - $180,000 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.

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.

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