Fraud Strategy Manager

Responsibilities

• Lead and mentor a team of fraud strategists, focusing on their professional growth and fostering a data-driven culture.
• Own the end-to-end fraud prevention lifecycle, including new user onboarding, offboarding, and funds recovery.
• Partner with Product, Engineering, Data Science, and Operations to develop and tune fraud prevention systems, aligning risk appetite with internal and external requirements.
• Analyze performance metrics, loss trends, account activity, and portfolio trends to identify opportunities to reduce fraud losses.
• Understand and improve fraud controls and strategies; collaborate with core risk teams to mitigate risks.
• Communicate effectively with internal leadership, external users, financial partners, and regulators.
• Drive innovative, scalable fraud strategies across products like Treasury, Issuing, Capital, Crypto, and Stablecoins; leverage AI technologies to accelerate execution and improve outcomes.

Minimum Requirements

• 10+ years of relevant experience, preferably in Financial Services, Payments, or FinTech.
• Experience coaching, mentoring, recruiting, developing, and managing diverse, high-performing teams.
• Strong collaboration, communication, and relationship-building skills with ability to influence stakeholders.
• Excellent verbal and written communication skills, able to convey complex ideas in high-stakes situations internally and externally.
• Decisive yet open to learning; able to make critical decisions with incomplete information.
• Proven ability to collaborate and execute on scaled, high-complexity cross-functional projects with technical and non-technical teams.
• Champion for AI and automation; actively applies AI-powered tooling to accelerate work, reduce toil, and improve decision quality at scale.

Preferred Qualifications

• Strong data visualization skills and willingness to use data and AI tools for analysis and decisions.
• Experience in a high-growth technology company managing risk at scale.
• Experience working in tech or fast-paced, high-growth environments.
• Experience building scaled systems to prevent bank account fraud, issuing fraud, and/or crypto/stablecoin fraud.
• Expertise with quantitative tools such as Python or R.