Senior Product Owner - Fraud and Transaction Monitoring
capital · Dubai · hybrid
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.
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.