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Manager Machine Learning Finance Jobs (NOW HIRING)

Upstart

Senior Manager, Machine Learning

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager ... Familiarity with lending, lines of credit, or other consumer finance products. * Hands-on ...

Meta

Product Manager, Machine Learning

Menlo Park, CA · On-site

$173K/yr

Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...

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Manager Machine Learning Finance information

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$42K

$124.3K

$169K

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

As of Sep 12, 2026, the average yearly pay for manager machine learning finance in the United States is $124,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $168,000.00 per year, depending on experience, location, and employer.

What does a manager of machine learning in finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

How does a manager of machine learning in finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.

What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

Can manager machine learning finance be used in finance?

A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.

What cities are hiring for Manager Machine Learning Finance jobs?

Cities with the most Manager Machine Learning Finance job openings:

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

The most popular types of Machine Learning Finance jobs are:

What states have the most Manager Machine Learning Finance jobs?

States with the most job openings for Manager Machine Learning Finance jobs include:

What are popular job titles related to Manager Machine Learning Finance jobs?

For Manager Machine Learning Finance jobs, the most frequently searched job titles are:

Manager Machine Learning Finance jobs near you
Infographic showing various Manager Machine Learning Finance job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,326 per year, or $59.8 per hour.

Product Manager - Machine Learning - Remote

Manhattan, NY • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

Full-time

Re-posted 11 days ago

Job description

NAVA Software solutions is looking for a Product Manager - Machine Learning
Details:
Product Manager - Machine Learning
Location: Remote project
Duration: 12 months
Job Functions:
Within the role, the Lead Product Manager will:
  • Develop and manage end-to-end Machine Learning technical product solutions.
  • Leverage subject matter expertise to proactively engage with business partners to strategize and design solutions that improve investigation of activities, and decision-making utilizing Machine Learning
  • Identify opportunities to leverage Machine Learning technology to achieve Advanced Analytics strategic objectives. Partner with business and technology sponsors to build successful business cases to fund the initiatives
  • Represent and collaborate with business partner across the full product lifecycle. Oversee stakeholder engagement and communication, review and prioritization of business requirements, cross-functional user acceptance testing of selected solution(s), and development of change management plans for implementation and adoption.
  • Collaborate with business stakeholders and technology counterparts to evaluate third-party solutions where appropriate. Lead vendor engagement efforts from selection through implementation
  • Help define and validate success criteria for business partners where Machine Learning can improve their goals and objectives
  • Rely upon design thinking / growth mindset to approach business problems with a strategic view
  • Provide feedback regarding solutions, tools, and platforms with a view of strategic priorities
  • Champion new Machine Learning capabilities, functions, and processes within and across the organization

Education/Experience Requirements:
  • Bachelor's degree in Business Administration, Finance, Information Technology, or related field and a minimum of seven (7) years of experience working with ML; or an equivalent combination of education and experience
  • Experience developing or working directly on various aspects of large-scale ML platforms such as dataset generation, feature development, model testing and resource management to support the development of ML-powered product experiences such as NLP, computer-vision, ranking and personalization
  • Strong organizational skills, oral, and written communication skills, with an ability to administer multiple complex assignments concurrently and execute against tight deadlines
  • Familiarity with advanced reporting and analytics tools.
  • Be able to prioritize a complex workload, make difficult decisions, and resolve competing priorities
  • Proven record of operationalizing and deploying complex technology applications across business users from inception to delivery
  • Self-starter, forward-thinking, and ability to "get into the weeds" of business processes and technology capabilities to maximize value and outcomes
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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