Binance is hiring a Web3 Risk Analyst (SQL), Card Payment Fraud
Location: Taiwan, Taipei
Risk Analyst (SQL), Card Payment Fraud
Asia / 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
Data & Research – Data & Analytics /
Full-time Onsite or Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
We are seeking a Fraud Risk Analyst, Card Payment to protect our card issuing business by identifying, analyzing, and intercepting fraudulent card transactions in real time. You will sit on the issuer side of the payments ecosystem, working at the intersection of transaction monitoring, rule strategy, and fraud investigation to minimize losses while preserving a smooth experience for legitimate cardholders.The ideal candidate has hands-on experience with issuer or card processor systems and a deep understanding of how card authorization, clearing, and settlement flows work end to end.
We are seeking a Fraud Risk Analyst, Card Payment to protect our card issuing business by identifying, analyzing, and intercepting fraudulent card transactions in real time. You will sit on the issuer side of the payments ecosystem, working at the intersection of transaction monitoring, rule strategy, and fraud investigation to minimize losses while preserving a smooth experience for legitimate cardholders.The ideal candidate has hands-on experience with issuer or card processor systems and a deep understanding of how card authorization, clearing, and settlement flows work end to end.
Responsibilities:
- 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:
- 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.
Nice to have:
- Experience tuning real-time authorization rules and measuring fraud vs. false-positive trade-offs.
- Exposure to machine learning fraud models and feature engineering for risk scoring.
- Crypto card experience: familiarity with crypto-linked cards and crypto-to-fiat settlement at auth.
- Knowledge of PCI-DSS and relevant regulatory/compliance requirements.
- Industry certifications (e.g., CFE — Certified Fraud Examiner).
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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