Machine Learning Quantitative Research Analyst

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.) To apply to this position, you must click the “Apply” button on this page and complete the online application . An EOE. #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.

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.

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An employer who violates this law shall be subject to criminal penalties and civil liability.