Binance

3 days ago

Risk Analyst (SQL), Card Payment Fraud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Protect the card issuing business by monitoring authorization flows in real time, designing and deploying fraud detection rules and risk scoring strategies, and investigating suspected fraud cases end to end. You’ll analyze fraud losses and key risk KPIs, produce dashboards and management reporting, and support dispute/chargeback teams using Visa/Mastercard reason codes. Collaborate with product, engineering, data science, and compliance to improve models and controls while staying ahead of emerging fraud threats.

Location: Wellington, Auckland, Melbourne, Brisbane, Sydney, Bangkok, Taipei

Workplace: Remote

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Key Responsibilities

•Monitor card authorization flows in real time and flag suspicious activity across debit/credit card portfolios.
•Design, test, tune, and deploy fraud detection rules and risk scoring at the authorization decision point, balancing capture rate with false positives/declines.
•Investigate suspected fraud cases, determine root cause, and take action (block, step-up, decline).
•Track fraud losses, chargeback rates, approval rates, and key risk KPIs; produce dashboards and reporting for management.
•Collaborate with dispute/chargeback teams on fraud-related chargebacks and network (Visa/Mastercard) reason codes; partner with product, engineering, data science, and compliance to improve fraud models, tooling, and controls.

Pay and Benefits

Perks:Remote Work

Key Requirements

•3+ years in card payment fraud risk, ideally on the issuer or card processor/issuer-processor side.
•Strong understanding of the card payment lifecycle (authorization, clearing, settlement) and roles of issuer, acquirer, card network, 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 including CNP fraud, ATO, counterfeit/cloned cards, lost/stolen, BIN attacks, and card testing/enumeration.
•Experience with fraud detection/rules engines and strong SQL-based data analysis to quantify fraud/risk trade-offs.

Experience:3+ years

Skills:ProactiveDetail-orientedCross-functional collaborationData analysisRisk trade-off evaluation

Tech Stack:SQLISO 8583AVSCVV3-D Secure (3DS)SCAFalconSASFeedzaiFeaturespaceMachine learningAIVisaMastercard

Company Brief

Binance

Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Bootstrapped

Headquarters: George Town, Cayman Islands

Founded: 2017

Website LinkedIn

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Binance

3 days ago

Risk Analyst (SQL), Card Payment Fraud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Wellington, Auckland, Melbourne, Brisbane, Sydney, Bangkok, Taipei

Workplace: Remote

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Key Responsibilities

•Monitor card authorization flows in real time and flag suspicious activity across debit/credit card portfolios.
•Design, test, tune, and deploy fraud detection rules and risk scoring at the authorization decision point, balancing capture rate with false positives/declines.
•Investigate suspected fraud cases, determine root cause, and take action (block, step-up, decline).
•Track fraud losses, chargeback rates, approval rates, and key risk KPIs; produce dashboards and reporting for management.
•Collaborate with dispute/chargeback teams on fraud-related chargebacks and network (Visa/Mastercard) reason codes; partner with product, engineering, data science, and compliance to improve fraud models, tooling, and controls.

Pay and Benefits

Perks:Remote Work

Key Requirements

•3+ years in card payment fraud risk, ideally on the issuer or card processor/issuer-processor side.
•Strong understanding of the card payment lifecycle (authorization, clearing, settlement) and roles of issuer, acquirer, card network, 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 including CNP fraud, ATO, counterfeit/cloned cards, lost/stolen, BIN attacks, and card testing/enumeration.
•Experience with fraud detection/rules engines and strong SQL-based data analysis to quantify fraud/risk trade-offs.

Experience:3+ years

Skills:ProactiveDetail-orientedCross-functional collaborationData analysisRisk trade-off evaluation

Tech Stack:SQLISO 8583AVSCVV3-D Secure (3DS)SCAFalconSASFeedzaiFeaturespaceMachine learningAIVisaMastercard

Company Brief

Binance

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Bootstrapped

Headquarters: George Town, Cayman Islands

Founded: 2017

Website LinkedIn