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Cash App

Fraud & Customer Risk Insights Group Lead

Cash App, San Francisco, California, United States, 94199

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Fraud & Customer Risk Insights Group Lead

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Cash App .

It all started with an idea at Block in 2013. Initially built to take the pain out of peer‑to‑peer payments, Cash App has become a dynamic ecosystem offering unique financial products such as Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save for our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available and universally accessible.

Today, Cash App has thousands of employees worldwide. Our culture is geared toward innovation, collaboration and impact. We have been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates.

The Role The Fraud & Customer Risk Insights Group Lead (GL) will lead a technical team that tackles complex challenges in the payments space, including debit card, peer‑to‑peer (P2P) and cryptocurrency transactions, and customer risk areas such as customer identification, disputes and the Families product. The role requires experience in fraud detection and prevention, and the ability to creatively resolve sophisticated issues. The GL will lead Team Leads and Individual Contributors, providing expert guidance on combating payment fraud patterns and generating insights on the drivers of inauthentic activity and other risks.

The GL will analyze intricate and dynamic schemes, utilizing in‑depth evaluations and experience‑driven judgment to identify the most crucial trends for detection and prevention. The role requires cross‑functional networking with product, legal, compliance, operations and machine learning teams. Regulatory knowledge in the payments space, especially around disputes and KYC, is preferred to address fraud and generate insights around behaviors in these areas.

You will

Lead, mentor and develop a team of Team Leaders and Individual Contributors, ensuring high performance and collaboration.

Act as a trusted advisor to both team members and other departments, guiding them on how to approach company objectives and deliver key results.

Inspire, mentor and guide teams while setting clear goals and expectations.

Model the behaviors and expectations for your team.

Set performance expectations for the group, ensuring alignment with company policies.

Translate organizational objectives into team‑specific goals, determining how to best allocate resources and meet deadlines.

Lead the development and execution of strategies to detect organized fraud activity and generate insights on the drivers of customer complaints.

Utilize professional expertise to set methods and procedures for new assignments, ensuring that team members are aligned with the company's risk goals.

Provide recommendations for policy changes and establish team‑specific procedures to meet evolving challenges.

Work on complex issues where in‑depth analysis of various patterns is critical to deriving effective solutions.

Exercise sound judgment in determining methods for combating sophisticated schemes and identifying drivers of customer complaints or other related customer risks.

Collaborate with stakeholders from Legal, Product, Compliance, Operations and Machine Learning to align on strategic prevention and mitigation initiatives, including generating actionable insights for product development, controls, complaint mitigation and machine learning models.

Lead cross‑team efforts in evaluating trends and patterns, ensuring that team recommendations support overall business goals.

Ensure that your team’s erroneous decisions are minimized through careful data analysis, cross‑functional collaboration and strategic insight.

You have

Minimum of 8 years of related experience in fraud prevention and risk management.

Proven track record in analyzing and combating fraud on payment platforms, including identification of customer risks such as disputes and complaints.

Demonstrated ability to resolve complex challenges by applying professional knowledge and creative problem‑solving skills.

Experience working with machine learning models and data‑driven approaches to fraud detection and complaint mitigation.

Expertise in detecting and preventing fraud patterns such as account takeovers (ATO), scams, identity fraud, disputes, complaints and cryptocurrency‑related fraud.

Strong understanding of identity verification requirements for payment platforms and familiarity with the operational policies that govern fraud prevention.

Strong understanding of SQL and experience guiding technical teams using data to create insights.

Expertise presenting information and insights using data‑visualization tools including Tableau, Mode, Looker, Google‑suite documents, etc.

Experience managing and coordinating the activities of both Team Leaders and Individual Contributors in a professional setting.

Ability to inspire, mentor and guide teams while setting clear goals and expectations.

Ability to work on diverse and complex issues where multiple variables must be analyzed and evaluated to determine the best approach to fraud prevention.

Adept at selecting methods and techniques that are both effective and scalable to combat organized fraud at a large scale.

Strong analytical abilities, capable of turning complex data into actionable insights for business stakeholders.

Familiarity with technologies and tools commonly used in the financial sector.

Even better

Advanced degree (Master's or higher) in fields such as mathematics, business management, statistics, etc.

SQL and data visualization experience (read & write).

Pay The successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, work location and market conditions. Pay ranges may be modified in the future.

Zone A

– $148,700—$223,100 USD

Zone B

– $138,300—$207,500 USD

Zone C

– $130,900—$196,300 USD

Zone D

– $123,400—$185,200 USD

Equal Employment Opportunity Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

We believe in being fair and are committed to an inclusive interview experience, providing reasonable accommodations to disabled applicants throughout the recruitment process. Applicants are encouraged to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

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Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us at privacy@block.xyz with hiring practice or data usage questions.

Benefits Every benefit we offer is designed with one goal: empowering you to do your best work while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans and modern family planning are just some of our offerings.

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