Risk Control Analyst, ATO & Risk Strategy
New
B
BinanceCryptocurrency risk
Location: Australia; Hong Kong; Singapore; TaiwanFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years of experience in risk control, fraud prevention, or a related analytical role
- Required Skills
- SQLData Analysis
Requirements
- Have 3+ years of experience in risk control, fraud prevention, or a related analytical role.
- Have hands-on experience designing and deploying risk rules or strategies in a real-time production environment; investigation or case handling alone is not sufficient.
- Have direct experience in account security, ATO, or identity risk, or clearly transferable fraud-domain detection experience.
- Be able to extract risk features from data, build detection logic, and measure control effectiveness.
- Understand risk-control frameworks, including rule-based decision systems, scoring models, and layered defense design.
- Be proficient in SQL and data-analysis tools and comfortable working with large datasets.
- Have strong communication and stakeholder-management skills to translate business needs into control requirements and drive cross-team execution.
- Have experience using AI tools in day-to-day work, such as analyzing risk issues, optimizing rules, screening data, or accelerating investigation workflows.
- Device fingerprinting, behavioral analytics, or biometric verification signal experience is a nice-to-have.
- Experience with third-party risk vendors for face verification, device intelligence, or fraud scoring is a nice-to-have.
Responsibilities
- Design and deploy ATO risk-control strategies, including risk analysis, feature extraction, rule deployment, and control-flow design.
- Define step-up and intervention logic, balancing loss prevention against user experience.
- Design control flows for login, device, transaction, and account-change scenarios, including fallback and exception handling.
- Translate emerging attack patterns and threat intelligence into detection rules and mitigation measures.
- Build and refine ATO detection pipelines using device, IP, behavioral, and biometric signals.
- Specify signal and data requirements for data and engineering teams, and validate production coverage and data quality.
- Define and track strategy metrics, including detection rate, loss prevented, false-positive rate, and challenge pass rate.
- Run A/B, shadow, or backtest evaluations and tune thresholds and logic to reduce false positives while maintaining detection coverage.
- Work with data and engineering teams to productionize rules and models and resolve deployment and data issues.
- Partner with product, security, and compliance teams on risk flows, control requirements, and incident response; lead post-incident reviews and document decisions.
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