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Temporary Machine Learning Finance Jobs (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$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 ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Paylocity

Machine Learning Engineer

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Bracebridge Capital

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 ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Hang draws from years of deep expertise in loyalty, game design, and finance with employees from ... This person will implement and develop machine learning models to enhance our platform ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Focus Financial Partners

Machine Learning Engineer

$160K - $180K/yr

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on ... Focus is a leading financial services firm comprised of integrated wealth management, family office ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... markets, including financial services, manufacturing, telecommunications, chemical services ...

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Temporary Machine Learning Finance information

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How much do temporary machine learning finance jobs pay per year?

As of Aug 22, 2026, the average yearly pay for temporary machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

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Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Full-time

Re-posted 8 days ago

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.

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