capital - Senior Product Owner - Fraud and Transaction Monitoring
Requirements
• 5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level. • Strong financial crime experience covering both fraud and money laundering, gained in fintech, banking, payments or another regulated business. • Hands-on experience building detection capabilities such as rules, models or transaction monitoring systems. • Experience using AI or automation to reduce manual alert review, for example automated customer outreach, while keeping people on complex cases. • Strong data skills: you understand where data comes from and how reliable it is, and you can evaluate detection using historical data, coverage and false-positive analysis. • Experience releasing changes to live controls safely, with testing, staged rollout, monitoring and rollback. • Excellent stakeholder management, including working with Compliance and control owners through approval processes. • Experience building or growing a product team is desirable.
Responsibilities
• Own and prioritize the product roadmap for fraud prevention and transaction monitoring within the agreed financial crime strategy. • Translate fraud threats, money-laundering risk scenarios and control requirements into clear product requirements, detection logic and acceptance criteria. • Lead the development of rules, models and preventive controls with Engineering, Data, Operations and Compliance. Apply AI and machine learning where they demonstrably improve detection, prevention and case handling. • Establish reliable, timely data inputs for detection. Identify gaps in data quality, availability or coverage and prioritise their resolution. • Evaluate proposed controls using historical data and realistic test scenarios. Assess detection coverage, missed activity, false positives and the impact on legitimate customers. • Deliver changes through the agreed approval process, with clear testing, staged rollout, monitoring and rollback plans. • Measure performance after release, including fraud losses, detection effectiveness and customer friction. Use the findings to improve controls without treating fewer alerts as proof of success. • Adapt fraud prevention and transaction monitoring capabilities to emerging threats, new products, markets and transaction types. Make readiness requirements and unresolved coverage gaps visible before launch. • Coordinate delivery across product teams and control owners, making priorities, dependencies and trade-offs clear and escalating decisions that require accountable leadership.
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