Risk Control Analyst, Card & ATO Risk

BinanceFintech risk

Location: Australia; Singapore; Taiwan; ThailandFull-TimeMiddle

Salary not disclosed

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Job Details

Languages: Bilingual English/Mandarin is required
Experience: 3+ years of experience in risk control, fraud prevention, or a related analytical role
Required Skills: SQL

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.
Be able to extract risk features from data, build detection logic, and measure control effectiveness.
Understand risk-control frameworks, including rule-based systems, scoring models, and layered defense design.
Be proficient in SQL and data analysis tools and comfortable working with large datasets.
Have experience using AI tools in day-to-day work, such as analyzing risk issues, optimizing rules, screening data, or accelerating investigations.
Be bilingual in English and Mandarin to coordinate with overseas partners and stakeholders.
Issuer-side card risk experience, including BIN management, authorization risk, 3DS, or card fraud detection, is preferred.
Experience in ATO, account fraud, or identity risk is preferred.
Experience with third-party risk vendors, such as face verification, device fingerprinting, or fraud scoring, is preferred.
Knowledge of regulatory and compliance considerations in card and fintech risk is preferred.

Serve as the primary risk contact for issuer-side card matters, including BIN card fraud, transaction monitoring, and card lifecycle risk control.
Gather requirements with payment and card business teams, propose controls, and drive end-to-end implementation.
Design and deploy card risk rules and strategies for card opening, credit-limit adjustments, transaction authorization, and disputes or chargebacks.
Monitor card risk metrics, conduct post-event analysis, and optimize control effectiveness.
Evaluate third-party card risk vendors and solutions and drive integrations where valuable.
Design and deploy ATO risk strategies, including risk analysis, feature extraction, rule deployment, and control-flow design.
Build and refine ATO detection and prevention pipelines across login, device, transaction, and account-change scenarios.
Use device, IP, behavioral, and biometric risk signals to build layered defenses.
Analyze attack patterns and emerging threats and translate findings into detection rules and mitigation strategies.
Document risk-control designs, decision logs, and post-incident reviews; work with data and engineering teams to implement and tune models and rules.

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