Risk Analyst, SQL – Card Payment Fraud

Binance

Risk Analyst focusing on KYC Fraud Prevention & Compliance Rule Analysis at Binance. Protecting platform integrity by preventing fraudulent activities in a fast-paced environment.

Posted 7/27/2026full-timeRemote • 🇸🇬 SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in real-time transaction monitoring and fraud detection strategies, with a strong focus on data analysis and collaboration across cross-functional teams. Proficient in managing fraud cases and understanding the card payment lifecycle, including chargeback processes and network dispute codes.

Highest-signal resume keywords

Fraud Detection StrategiesData Analysis (SQL)Card Payment LifecycleFraud Typologies KnowledgeFraud Rules Engines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud Detection StrategiesData Analysis (SQL)Fraud Rules EnginesChargeback Lifecycle UnderstandingFraud Typologies Knowledge

Tools & Technologies

FalconSASFeedzaiFeaturespace

Industry Keywords

Card Payment Fraud RiskAuthorization Message FlowsCNP FraudAccount TakeoverBIN AttacksVisaMastercard3-D Secure (3DS)AVSCVV

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Real-time transaction monitoring: Monitor card authorization flows and flag suspicious activity across debit/credit card portfolios.
Fraud rule strategy: Design, test, tune, and deploy fraud detection rules and risk scoring strategies at the authorization (auth) decision point — balancing fraud capture rate against false-positive / decline rates.
Investigation & case management: Investigate suspected fraud cases (account takeover, counterfeit/cloned cards, stolen card, CNP fraud, first-party/friendly fraud), determine root cause, and take action (block, step-up, decline).
Loss & performance analysis: Track fraud losses, chargeback rates, approval rates, and key risk KPIs; produce dashboards and reporting for management.
Chargeback & dispute support: Work with dispute/chargeback teams on fraud-related chargebacks and network (Visa/Mastercard) reason codes.
Cross-functional collaboration: Partner with product, engineering, data science, and compliance to improve fraud models, tooling, and controls.
Emerging threat detection: Stay ahead of evolving fraud typologies, BIN attacks, enumeration/testing attacks, and organized fraud rings.

Requirements

What you’ll need

3+ years in card payment fraud risk, ideally on the issuer or card processor / issuer-processor side.
Solid understanding of the card payment lifecycle: authorization, clearing, settlement; the roles of issuer, acquirer, card network (Visa/Mastercard), and processor.
Familiarity with authorization message flows (ISO 8583), auth/decline codes, AVS, CVV, and 3-D Secure (3DS) / SCA.
Working knowledge of fraud typologies: card-not-present (CNP) fraud, account takeover (ATO), counterfeit/cloned cards, lost/stolen, BIN attacks, card testing/enumeration.
Experience with fraud detection / rules engines (e.g., Falcon, SAS, Feedzai, Featurespace, or in-house platforms).
Strong data analysis skills: SQL required; ability to interrogate transaction data and quantify fraud/risk trade-offs.
Understanding of chargeback lifecycle and network dispute reason codes.

Benefits

Comp & perks

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)