Investment Machine Learning Analyst

Tradermath; Boston (MA); On-site; USD 110,000 - 145,000; Full time

Job summary

Bracebridge Capital, LLC seeks a Machine Learning Analyst to join its data analytics team in Boston. You will help develop ML systems to answer investment questions and support portfolio decisions, spanning data analysis, model development, and production deployment.

Ideal candidates have a solid Python foundation, experience with the data science stack, and an interest in financial markets. This role offers a collaborative environment and opportunities to take increasing ownership over time.

Qualifications

• Bachelor’s degree in a rigorous quantitative field.
• 0–2 years of related internship or project experience.
• Proficiency in Python and familiarity with the Python data science stack.
• Experience analyzing data from multiple sources.
• Strong written and verbal communication skills.
• Interest in financial markets.

Responsibilities

• Collaborate with ML 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.
• Contribute to maintaining existing models and analytic tools in production.
• Over time, take ownership of individual features and components and full projects.
• Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm.
• Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing.

Skills

Python

Data analysis

Communication skills

Problem solving

Independent work

Education

Bachelor's degree in quantitative field

Tools

NumPy

SciPy

Pandas

scikit-learn

Job description

Bracebridge Capital, LLC seeks a Machine Learning Analyst to join its data analytics team in Boston. You will help develop ML systems to answer investment questions and support portfolio decisions, spanning data analysis, model development, and production deployment.

Ideal candidates have a solid Python foundation, experience with the data science stack, and an interest in financial markets. This role offers a collaborative environment and opportunities to take increasing ownership over time.