Support the full fraud rule lifecycle, from proposal and analysis through testing, deployment, monitoring, tuning, and rollback.
Work in or alongside decisioning tools and rule engines that drive fraud detection logic.
Analyze fraud patterns, alert trends, false positives, false negatives, and rule performance.
Turn FraudOps insights and stakeholder requests into clear, structured rule proposals.
Use data to assess whether new rules or threshold changes are justified.
Monitor rules after deployment and identify when they need adjustment.
Handle daily fraud-control requests while keeping changes traceable and well documented.
Work with FraudOps, AML, Product, Engineering, Data, Compliance, and Legal to keep decisioning changes aligned and risk-aware.
Maintain documentation covering rule rationale, expected impact, test outcomes, and monitoring results.
Reduce single points of failure by building repeatable processes and business continuity plans.

Experience as a fraud, risk, fraud strategy, fraud rules, decisioning, or similar analyst.
Hands-on experience with a decisioning tool, fraud rules engine, risk platform, or internal decisioning system.
Experience creating, testing, monitoring, or tuning fraud rules, thresholds, scenarios, or risk logic.
Strong analytical skills and comfort using data to assess rule performance and fraud patterns.
Good understanding of fraud typologies, especially card, transaction, account misuse, or payment fraud.
Ability to balance fraud prevention against customer impact and operational workload.
Experience with false positives and an understanding that fraud controls need continuous tuning.
Strong written communication for explaining rule logic, rationale, risks, and expected outcomes.
Comfort working cross-functionally with FraudOps, Product, Engineering, Compliance, and Data.
A structured mindset with appreciation for documentation, traceability, governance, and change control.
Experience in fintech, banking, payments, spend management, or regulated financial services.
SQL or basic data analysis skills.
Must be physically based in one of the listed countries with a valid right to work; no visa sponsorship.

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Posted	17 Oct 2026
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Fraud Analyst