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Manager Machine Learning Finance Jobs in Austin, TX

Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

Join a high-growth financial technology organization focused on delivering modern digital banking ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...

Our mission is simple: build strong and diverse communities through innovative financial technology ... manager. Responsibilities: * Design and implement machine learning algorithms and models for ...

Our mission is simple: build strong and diverse communities through innovative financial technology ... manager RESPONSIBILITIES Design and implement machine learning algorithms and models for various ...

Our mission is simple: build strong and diverse communities through innovative financial technology ... manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...

Our mission is simple: build strong and diverse communities through innovative financial technology ... manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...

The Risk & Fraud team helps customers take a proactive stance against fraud while managing the ... Our solutions allow financial institutions to focus more of their time and energy on serving their ...

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Machine Learning Engineer Austin, TX About the Team Avride develops autonomous vehicle and delivery ... In this role, you will conduct experiments, manage large-scale datasets, and implement deep ...

... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... The product they offer allows their clients to monitor, manage, integrate, visualize, export, and ...

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows. 4+ years of related experience building high throughput scalable applications or ...

Our solution combines everything shippers need, from transportation management and visibility to ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

... managers, to help develop and implement machine learning algorithms and testing workflows ... Responsibilities * Collaborate with other MLEs to build scalable, production-ready ML solutions ...

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Showing results 1-20

Manager Machine Learning Finance information

See Austin, TX salary details

$41.6K

$123.2K

$167.5K

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 Austin, TX is $123,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $166,500.00 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.

What are the most commonly searched types of Machine Learning Finance jobs in Austin, TX? The most popular types of Machine Learning Finance jobs in Austin, TX are:
What cities near Austin, TX are hiring for Manager Machine Learning Finance jobs? Cities near Austin, TX with the most Manager Machine Learning Finance job openings:
Machine Learning Engineer

Machine Learning Engineer

PayPal

Austin, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


PayPal rating

6.8

Company rating: 6.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

15th of 17 rated payment service providers


Job description

Machine Learning Engineer

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

  • Assist in the development and optimization of machine learning models.
  • Preprocess and analyze datasets to ensure data quality.
  • Collaborate with senior engineers and data scientists on model deployment.
  • Conduct experiments and run machine learning tests.
  • Stay updated with the latest advancements in machine learning.

Minimum Qualifications:

  • 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
  • Familiarity with ML frameworks like TensorFlow or scikit-learn.
  • Strong analytical and problem-solving skills.

Additional Responsibilities & Preferred Qualifications:

  • Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
  • Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
  • Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
  • Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal's AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.

Qualifications:

  • An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
  • Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
  • Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, TensorFlow, Hadoop, Spark, SQL, etc.)
  • Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
  • Ability to work effectively both independently and in a team environment
  • Ability to communicate effectively and establish constructive relationship with stakeholders

What PayPal employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About PayPal

Sourced by ZipRecruiter

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1998

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