Risk Analyst (SQL), Card Payment Fraud
B
BinanceFintech / Cryptocurrency
Taiwan, Taipei; Australia, Brisbane; Australia, Melbourne; Australia, Sydney; Vietnam, Ho Chi Minh; New Zealand, Auckland; New Zealand, Wellington; South East Asia; Hong Kong; Thailand, Bangkok; AsiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- SQLData Analysis
Requirements
- 3+ years in card payment fraud risk, ideally on the issuer or card processor side.
- Solid understanding of the card payment lifecycle: authorization, clearing, and settlement.
- Knowledge of authorization message flows (ISO 8583), auth/decline codes, AVS, CVV, and 3-D Secure/SCA.
- Experience with fraud typologies including CNP, ATO, counterfeit, and BIN attacks.
- Experience with fraud detection or rules engines such as Falcon, SAS, Feedzai, or Featurespace.
- Strong data analysis skills with mandatory SQL proficiency.
- Understanding of the chargeback lifecycle and network dispute reason codes.
- Experience tuning real-time authorization rules and measuring trade-offs (nice to have).
- Familiarity with machine learning fraud models and feature engineering (nice to have).
- Experience with crypto-linked cards and crypto-to-fiat settlement (nice to have).
- Knowledge of PCI-DSS and industry certifications like CFE (nice to have).
Responsibilities
- Monitor card authorization flows and flag suspicious activity across debit/credit card portfolios.
- Design, test, tune, and deploy fraud detection rules and risk scoring strategies at the authorization decision point.
- Investigate suspected fraud cases including account takeover, counterfeit, stolen, and CNP fraud.
- Track fraud losses, chargeback rates, and approval rates to produce management dashboards.
- Support dispute and chargeback teams regarding network reason codes.
- Collaborate with product, engineering, and data science teams to improve fraud models and tooling.
- Identify and stay ahead of emerging fraud typologies, BIN attacks, and enumeration attacks.
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