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Manager Machine Learning Finance Jobs (NOW HIRING)

Extend

Manager, Machine Learning

$180K - $210K/yr

... machine learning systems into production * 2+ years experience mentoring and managing ML teams ... Generous, flexible paid time off policy. * 401(k) with Financial Guidance from Morgan Stanley.

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134.50K - $158.30K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of machine learning systems powering the Taco Bell Voice AI experience. This role is central to ensuring ...

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 ...

Upstart

Senior Manager, Machine Learning

OR · Remote

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 ...

Adobe

Senior Manager, Machine Learning

Waltham, MA

$160.90K - $317.78K/yr

The Opportunity Join us at Adobe as a Senior Machine Learning Manager, where you'll lead our Document Cloud AI Team in San Jose, CA! Drive innovation and build transformative document experiences ...

Adobe, Inc.

Senior Manager, Machine Learning

San Jose, CA · On-site

$160.90K - $317.78K/yr

The Opportunity Join us at Adobe as a Senior Machine Learning Manager, where you'll lead our Document Cloud AI Team in San Jose, CA! Drive innovation and build transformative document experiences ...

Overstory

Engineering Manager, Machine Learning

Role & Team As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on ...

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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 May 28, 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 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.

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 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.

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.

More about Manager Machine Learning Finance jobs
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 job categories do people searching Manager Machine Learning Finance jobs look for? The top searched job categories for Manager Machine Learning Finance jobs are:
Manager Machine Learning Finance jobs near you
Infographic showing various Manager Machine Learning Finance job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 75% Full Time, 10% Part Time, and 10% Contract. Highlights an 53% Physical, and 47% Remote job distribution, with an average salary of $124,326 per year, or $59.8 per hour.
Manager, Machine Learning

Manager, Machine Learning

Extend

Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
You will lead a team of ML data scientists on the Fraud and ML team, owning the development and quality of Extend's machine learning models across fraud detection, risk assessment, and identity resolution. You'll guide your team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring. You'll partner closely with Product and Engineering on integrating ML models into our product and with our Fraud Intelligence team to continuously improve our fraud detection capabilities.
What You'll Be Doing:
  • Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
  • Translate business problems into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
  • Design and maintain feature engineering pipelines for model development
  • Drive experiment design and statistical rigor: ensuring models are evaluated with sound methodology before and after launch
  • Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
  • Cultivate a culture of learning and collaboration within and across partner teams
  • Perform design and code reviews to raise the technical excellence bar
  • Hire, mentor, and coach data scientists
What We're Looking For:
Required:
  • 6+ years of work experience building and deploying machine learning systems into production
  • 2+ years experience mentoring and managing ML teams
  • Strong proficiency in Python and SQL
  • Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
  • Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
  • Strong people leadership skills with the ability to develop ML talent
  • Excellent stakeholder management, with a track record of working cross-functionally to deliver results
  • Empathy and humility

Preferred:
  • Experience building fraud detection or risk assessment systems
  • Experience with cloud ML platforms, particularly AWS (e.g., SageMaker)
  • Experience with graph data and graph-based models (e.g., PyTorch Geometric)
  • Experience with model monitoring and observability tooling (e.g., Arize)

Estimated Pay Range: $180,000-$210,000 per year salaried*
Life at Extend:
  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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