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Temporary Machine Learning Finance Jobs in Massachusetts

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Interest in financial markets, intellectual curiosity, and comfort in working on open-ended ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Interest in financial markets, intellectual curiosity, and comfort in working on open-ended ...

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... About Manulife and John Hancock Manulife Financial Corporation is a leading international financial ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

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Temporary Machine Learning Finance information

What are the most commonly searched types of Machine Learning Finance jobs in Massachusetts?

The most popular types of Machine Learning Finance jobs in Massachusetts are:

What cities in Massachusetts are hiring for Temporary Machine Learning Finance jobs?

Cities in Massachusetts with the most Temporary Machine Learning Finance job openings:

Machine Learning Analyst

Boston, MA

Bracebridge Capital
Finance and Insurance • 51 - 200 employees

$110K - $145K/yr

Full-time

Re-posted 26 days ago


Key responsibilities

  • Collaborate with team members, portfolio managers, and researchers to translate open-ended investment questions into analytical and machine learning problems

  • Develop, evaluate, and maintain data-driven machine learning and quantitative models related to investment problems

  • Document and communicate methods, assumptions, results, and limitations of models to other professionals


Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

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.

 Responsibilities:

  • Collaborate closely 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
  • 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

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 and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with 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, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.