Role Summary

As Senior Product Owner of Fenergo's Transaction Monitoring (TM) solution, you will own the tactical execution of features in an enterprise-grade AML/ CLM platform. You'll work closely with cross-functional teams (engineering, customers, product managers and client solutions) to deliver mission-critical capabilities: detection engines, AI models, AI agents, tuning & calibration, alert and case management UX, audit and reporting. You will translate regulatory requirements, typologies, and client needs into backlog items, drive sprint delivery, and ensure the product evolves to stay ahead of evolving threats using ground- breaking technology.

Key Responsibilities

• Decompose high-level features / requirements into user stories, acceptance criteria, and clear backlog prioritization.
• Collaborate with engineering, data science, and solutions teams to deliver high-quality TM features (real-time and batch pipelines, detection analytics, alert scoring, alert/ case creation, feedback loops).
• Drive backlog grooming, sprint planning, and manage priorities / dependencies across multiple engineering pods.
• Participate in design reviews, technical estimation, and ensure non-functional requirements (performance, scalability, security, auditability) are included in scope.
• Support calibration, back-testing, champion / challenger model assessment, model/ rule threshold tuning, monitoring of false positives / recall and improving true positive detection.
• Ensure explainability, reason codes, lineage, and model transparency across TM solution, including detection analytics and alert / risk scoring modules.
• Work with engineering teams and customers to define test cases, regression test suites, and oversee UAT / release validation.
• Monitor metrics (alert volumes, false positives, investigator throughput, conversion rates) and iterate to optimize.
• Manage dependencies with external systems (watchlists, screening, sanctions feeds, data enrichment, client data ingestion).
• Create or update product documentation, user guides, runbooks, and support internal teams (sales, services, support).
• Stay current on AML regulations, typologies and trends across the financial crime sector.
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Requirements

Required Qualifications & Skills

• 6+ years of experience in product, business analysis, or domain roles, with at least 4 years working in AML / financial crime / risk / compliance products or operations.
• Deep understanding of AML transaction monitoring, financial crime typologies and risks. Understands case management flows and regulatory expectations.
• Experience working on systems that handle regulated, mission-critical workflows (auditability, traceability, security).
• Familiarity with data processing and analytics: pipelines, feature engineering, model scoring, streaming vs batch.
• Comfortable crafting user stories, acceptance criteria, and working in Agile / Scrum methodologies.
• Strong stakeholder management skills: able to mediate between compliance, operations, engineering, and clients.
• Excellent written and verbal communication; capable of explaining technical & domain complexity to business and technical audiences.
• Analytical mindset, with data-driven decision making and ability to measure outcomes.
• Degree in Computer Science, Engineering, Data Science, or equivalent; or extensive domain equivalent experience.
• CAMS or equivalent certification is preferred
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Benefits

Our promise to you

We are striving to become global leaders across all of the categories we operate in and as part of that we are a high-performing highly collaborative team that works cross functionally to accommodate our client's needs.

• Collaboration: Working together to achieve our best
• Outcomes: Drive Success in every engagement
• Respect: A collective feeling of inclusion and belonging
• Excellence: Continuously raising the bar
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