Within the first few weeks, deliver a comprehensive, independent fraud risk assessment.
Identify the most critical vulnerabilities, emerging threat vectors, and areas of elevated risk.
Propose a clear, prioritized mitigation roadmap based on findings.
Design and launch controlled experiments to reduce early-stage fraud (e.g., first-payment default) with minimal impact to approval rates and growth.
Implement controls that materially reduce the risk of large-scale, unmitigated acquisition or transactional fraud attacks.
This is the most critical outcome of the role and requires a proactive, prevention-first mindset.
Build repeatable intelligence and decision-making from manual fraud reviews.
Establish feedback loops leveraging a combination of human judgment, automation, and AI-driven tools.
No strict years-of-experience requirement; however, candidates are typically expected to have ~6–12 years of relevant experience to meet the scope and compensation expectations.
This is a senior individual contributor role. Impact is expected to be scaled primarily through analysis, tooling, code, and automation rather than people management.
Opportunities to build and lead a team may emerge based on demonstrated outcomes and business needs.