Senior Product Owner - Fraud and Transaction Monitoring

Team: Operations Core

Location: Dubai, London, England, United Kingdom

Commitment: Hybrid

Workplace Type: 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.