Machine Learning Quantitative Research Analyst
About The Position
This role will be a member of the Portfolio Management Research Team at State Street Associates, an investment research division of State Street Markets. The position is 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. The role involves 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, translating academic research into practical applications and products, 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.
Requirements
- Master’s degree in mathematics, statistics, operations research or related quantitative field.
- 3 years of experience in a buy-side or sell-side quantitative research role.
- 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).
- Experience with 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.
- Demonstrated written communication skills suitable for authoring white papers and journal articles.
- Ability to explain complex concepts in a clear and concise manner.
Responsibilities
- 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.
- 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 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.
- Engaging with clients as a subject matter expert on our related research.
Benefits
- 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
- Eligibility for certain tax advantaged savings plans
- Inclusive development opportunities
- Flexible work-life support
- Paid volunteer days
- Vibrant employee networks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
