Machine Learning Analyst - 2026
$110,000–$145,000 year
On-siteBoston, Massachusetts, United States
Job Summary
Collaborate with machine learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems. Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems while contributing to maintaining existing models and analytic tools in production. Over time, take ownership of individual features, components, and full projects, clearly documenting methods and results for trading professionals. Stay current with relevant new techniques in machine learning and artificial intelligence, particularly as they pertain to finance and investing. This role is open to candidates available to begin in the near term or students completing their undergraduate degree between Fall 2026 and Summer 2027.
Required Qualifications
- Bachelor's degree (or equivalent) in a rigorous quantitative field
- 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
- Proficiency in Python
- Familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc)
- Experience in other languages (a plus)
- Experience working with and analyzing data from multiple sources and in multiple formats
- Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
- Demonstrated ability to independently scope and execute open-ended technical projects
- Interest in financial markets
- Intellectual curiosity
- Comfort in working on open-ended problems
- Strong written and verbal communication skills
Desired Qualifications
- Familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
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