manager product management
2 weeks ago
- Own and prioritize the product roadmap for fraud-related capabilities (SAS fraud management, account takeover, payment fraud, device/geo fraud, etc.), including FEEDZEI SAS EFM, Feature space or other fraud platform.
- Define and articulate product vision, strategy, and metrics; drive end-to-end delivery from discovery to launch in Agile model.
- Gather and analyze requirements from business and translate them into clear user stories, use cases, and acceptance criteria using JIRA tool.
- Collaborate with Data/Analytics and Engineering teams to develop and monitor fraud detection rules, scoring models, and alerting/response workflows.
- Stay current on fraud trends, regulations, and emerging technologies; evaluate new fraud tooling and platform enhancements.
- Operate as a bridge between business stakeholders and technical teams; ensure deliverables meet business needs while maintaining technical feasibility and compliance.
- Support regulatory and governance requirements related to fraud prevention (data privacy, audit trails, model risk management as applicable).
- Lead user training, create helpful documentation, and champion adoption of new fraud features across the organization.
- Potentially contribute to lightweight data tasks (SQL queries, basic data checks) and generate simple reports using Python or BI tools.
- Deep domain knowledge of fraud detection lifecycle: data ingestion, feature extraction, rule-based and machine learning scoring, alerting, investigation workflows, and case management.
- Experience with at least one fraud platform (e.g., FEEDZEI or other leading fraud product) and/or strong capability to evaluate and integrate fraud tooling.
- Tech-leaning profile: basic data literacy with ability to read and understand SQL queries, and comfort with data exploration.
- Familiarity with databases and data analytics concepts; ability to work with data engineers to define data requirements and validate results.
- Basic Python scripting knowledge to support lightweight reporting, data pulls, or automation tasks.
- Analytical mindset with strong problem solving, hypothesis-driven testing, and ability to translate data into actionable product decisions.
- Excellent communication and stakeholder management skills; ability to influence without authority.
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Product Manager
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