Machine Learning Analyst
Bracebridgecapital · Boston, MA
About this role
## Bracebridge Capital — Machine Learning Analyst Bracebridge Capital, LLC is a leading alternative asset manager with approximately **$12 billion** of net assets under management. The firm pursues investment strategies primarily within the **global fixed income** markets, with objectives of **capital preservation** and **absolute return** without significant correlation to equity, interest rate, and foreign exchange markets. ### About the Team You’ll join the growing **Data Analytics & Machine Learning** team. The team builds machine learning systems to answer open-ended investment questions and support portfolio management decisions across the full project lifecycle—from ideation and data analysis to hypothesis testing, model development, and deployment/maintenance in production. Work spans **statistical modeling**, **classical machine learning**, and **modern AI/LLM techniques**. ### Responsibilities - Collaborate with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and ML problems - Develop and evaluate data-driven ML and quantitative models (including simulation- and optimization-based approaches) for investment-related problems - Contribute to maintaining existing models and analytic tools in production - Over time, take ownership of individual features/components and full projects - Clearly document and communicate methods, assumptions, results, and limitations to researchers and trading professionals - Stay current with new ML/AI techniques—especially as they apply to finance and investing ### Qualifications - **Bachelor’s degree** (or equivalent) in a rigorous quantitative field - **0–2 years** of experience via internships, undergraduate research/thesis, or substantial independent technical projects involving software development, data analysis, or ML - Proficiency in **Python** and familiarity with the Python data science stack (**NumPy, SciPy, Pandas, scikit-learn**, etc.); other languages a plus - Experience working with and analyzing data from multiple sources and formats - Familiarity with ML and statistical modeling fundamentals (model evaluation, experimental design) - Ability to independently scope and execute open-ended technical projects - Interest in financial markets, intellectual curiosity, and comfort working on open-ended problems - Strong written and verbal communication skills ### Start Date This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between **Fall 2026 and Summer 2027**. Start dates will be determined based on candidate availability and, for students, degree completion. ### Compensation **Anticipated annual base salary range:** **$110,000 – $145,000** Base salary within the range will be determined based on factors including experience, skills, and qualifications.
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