Risk Control Analyst, ATO & Risk Strategy

• Design and deploy ATO risk control strategies: risk analysis, feature extraction, rule and strategy deployment, and control-flow design
• Define step-up and intervention logic — challenge, block, restrain, or add friction — balancing loss prevention against user experience
• Design end-to-end control flows across login, device, transaction, and account-change scenarios, including fallback and exception handling
• Translate emerging attack patterns and threat intelligence into actionable detection rules and mitigation measures

• Build and refine ATO detection pipelines using device, IP, behavioral, and biometric signals
• Construct multi-layered defense chains so that a single signal failure does not create a control gap
• Specify signal and data requirements to data and engineering teams; validate coverage and data quality in production

• Own strategy performance end to end: define success metrics (detection rate, loss prevented, false-positive rate, challenge pass rate) and track them on an ongoing basis
• Run A/B, shadow, or backtest evaluations before and after rollout; quantify impact on both fraud loss and good-user friction
• Continuously tune thresholds and logic to reduce false positives without eroding detection coverage

• Work with data and engineering teams to productionize rules and models, and to resolve deployment and data issues
• Partner with product, security, and compliance teams on end-to-end risk flows, control requirements, and incident response
• Lead post-incident reviews on confirmed ATO cases and feed findings back into strategy
• Document risk control designs, decision rationale, and review outcomes

• 3+ years of experience in risk control, fraud prevention, or a related analytical role
• Hands-on experience designing and deploying risk rules or strategies in a real-time production environment — not investigation or case handling only
• Direct experience in account security, ATO, or identity risk; adjacent fraud-domain experience with clearly transferable detection work is acceptable
• Strong analytical skills: ability to extract risk features from data, build detection logic, and measure control effectiveness
• Solid understanding of risk control frameworks — rule-based decision systems, scoring models, and layered defense design
• Proficiency in SQL and data analysis tools; comfortable working with large datasets
• Strong communication and stakeholder management skills — able to translate business needs into risk control requirements and drive cross-team execution
• Experience using AI tools in day-to-day work, e.g. using AI to analyze risk issues, automate and optimize rules, screen data, or accelerate investigation workflows

• Experience with device fingerprinting, behavioral analytics, or biometric verification signals
• Experience working with third-party risk vendors (face verification, device intelligence, fraud scoring)

• Shape the future of finance 
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

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