Sr Dir, Fraud Risk Machine Learning

9 Months ago • 15 Years + • Legal • $144,800 PA - $319,000 PA

Job Summary

Job Description

Lead PayPal's Fraud Risk Detection Machine Learning team, developing and implementing cutting-edge AI/ML risk solutions. Requires strong ML expertise, leadership, and experience in building and managing globally distributed teams.
Must have:
  • Machine Learning
  • Large-scale Models
  • ML Modeling
  • Global Teams
Good to have:
  • Deep Learning
  • Gradient Boosting
  • Graph, NLP/LLM
  • Regression, Clustering
Perks:
  • Flexible Work
  • Employee Shares

Job Details

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

We are in search of an exceptional leader to lead our Fraud Risk Detection Machine Learning team.  As Head of Fraud Risk ML, you will manage the entire portfolio of Fraud Risk solutions, and be entrusted with leading our globally distributed top-tier ML scientists to bring cutting-edge AI/ML risk solutions to fruition. 

Job Description:

Key Qualifications

  • Effectively engage and collaborate with cross-functional teams, including strategy, product, and engineering, to uncover and leverage business opportunities through machine learning.
  • Possess strong communication skills, ability to communicate effectively to technical experts and non-technical stakeholders, including executives.
  • Strong strategic acumen and have a proven track record of delivering substantial business results. 
  • Possess deep ML expertise to lead design and reviews of ML model development.  Ability to continuously push the envelope for ML advancement.
  • Demonstrate the ability to lead, manage, and inspire a team of seasoned machine learning scientists, driving them towards achieving project objectives and fostering innovation.
  • Showcase a commitment to nurturing the growth and development of team members, while actively promoting a culture of continual learning throughout the organization.

What you’d need to bring

  • Strong background in Machine Learning with hands-on experience in building and implementing large-scale predictive models.  Familiar with ML modeling techniques (e.g., deep learning, gradient boosting, graph, NLP/LLM, regression, clustering etc.)
  • Excellent communication and collaboration skills with the ability to influence partners and customers with your insights and expertise.
  • Advanced degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, or related fields.
  • 15+ years of related industry experience 
  • 8+ years of people management experience. Experience in leading, managing and building globally distributed high performing ML teams

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

10

-

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

$144800 to $319000

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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About The Company

PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. ​Learn more at. Learn more about privacy-related questions or data retention.

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