Manager, Fraud Analytics

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position.

Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth and perspectives to open new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities and the planet we all share.

Drive fraud analytics capability for United States IWPB by owning end-to-end analytic processes. You’ll develop deep expertise in fraud data, detection performance, and client impact, turning insights into measurable reductions in fraud losses and friction while improving controls and decisioning.

As our Manager, Fraud Analytics, you will: 

• Define requirements, manage delivery cadence, document methodologies, and ensure controls/traceability across the analytics lifecycle
• Analyze fraud trends, typologies, and emerging threats using internal/external data to identify root causes and actionable interventions
• Monitor and improve key metrics (e.g., fraud loss rate, detection/true positive rate, false positives, client friction, alert volumes, operational capacity impacts)
• Recommend and test changes to rules, thresholds, segmentation, and model features
• Produce clear recommendations for Fraud Management, Operations, Product, Digital, and Technology, support implementation and post-change validation
• Create concise dashboards and narratives that connect fraud decisions to client experience and business outcomes
• Ensure analyses and changes are well-controlled, auditable, and aligned to relevant policies, model risk expectations, and regulatory considerations

You’ll likely have the following qualifications to succeed in this role:

• Analytics experience in fraud, financial crime, risk analytics, or payments (banking preferred)
• Advanced capability in SAS/SQL and Python or R
• Proven ability to translate complex analysis into business decisions and influence cross-functional partners without formal authority
• Experience with card, digital payments, digital authentication, account takeover, application fraud, or transaction monitoring
• Dashboarding experience (e.g., QlikSense, Tableau, Power BI)
• Analytical depth, curiosity, and structured problem-solving
• Data storytelling and stakeholder management
• Pragmatic, outcome-driven mindset
• Strong attention to detail and control discipline
• Collaborative working style

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC’s engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You’ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference. We succeed together. We take responsibility. We get it done. And we want you to help us build the bank of the future!

The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.