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The Manager, Product & Engineering is responsible for implementing the design, product and technical build, support and maintenance of a key product or limited product portfolio, as well as the supporting technology capabilities and infrastructure that support that product in an Agile driven environment. Most often leading teams of 5 - 10 FTE, and may lead teams of onshore and offshore contracting companies. Direct reporting line may include team(s) of Product Manager(s), Product Owner(s), technical and solution architecture, DevOps management, UI / UX, Test, as well as full stack Software Development.
Job Responsibility:
Define and implement the strategic roadmap for the fraud and risk management platform, ensuring it evolves to meet emerging threats and business complexities
Enable business teams with scalable, configurable rule engines and machine learning models reducing fraud issues while minimizing customer friction
Lead development and optimization of the platform, ensuring high availability, security, and performance
Ensure seamless fraud monitoring, incident response, and continuous platform improvements to enhance risk detection and response capabilities
Partner closely strategy partners in fraud, data science, engineering, compliance, and product leaders to align platform capabilities with evolving business needs
Drive platform transformation to support business growth, new product offerings, and emerging fraud patterns
Leverage analytics, AI/ML, and behavioral insights to continuously improve fraud detection and prevention mechanisms
Ensure the platform adheres to relevant regulations, compliance requirements, and industry standard processes in fraud and risk management
Act as a key liaison between business teams, engineering, and leadership to align fraud prevention efforts with company objectives
Build, mentor, and lead a high-performing team, fostering a culture of innovation, teamwork, and continuous learning
Requirements:
Bachelor's Degree Computer Science, Engineering, IT or equivalent experience
4-7 years Product Management experience in an agile software product development environment
5+ years of experience in product management, engineering leadership, or risk technology, with a focus on fraud prevention, risk mitigation, or payments security
Proven track record owning the development and scaling of fraud detection or risk management platforms, including rule-based and AI/ML solutions
Strong experience supervising engineering teams, implementing real-time risk assessment, ML models, and fraud decisioning systems
Hands-on experience leading Agile teams, running sprints, and driving continuous improvement in fraud prevention technology
Familiarity with fraud regulations, KYC, AML, PCI compliance, and security standard methodologies
Experience using analytics, behavioral modeling, AI/ML, and risk signals to improve detection and minimize false positives
Ability to collaborate with fraud strategy teams, data science, compliance, legal, and customer experience teams to balance fraud prevention with user experience
Experience handling fraud events, optimizing real-time monitoring, and refining alerting and customer concern areas
Background in adapting fraud platforms to support new products, markets, and risk landscapes as businesses evolve
Experience leading, mentoring, and developing high-performing product and engineering teams
Deep understanding of fraud prevention tools, risk modeling, and adaptive decisioning systems
Knowledge of machine learning techniques, anomaly detection, and behavioral risk assessment models
Familiarity with AWS, Google Cloud, or Azure for real-time fraud detection and risk management solutions
Strong understanding of PCI DSS, AML, KYC, and other regulatory frameworks impacting fraud and risk
Experience with fraud rule engines, risk scoring, and adaptive authentication mechanisms
Strong expertise in Agile methodologies, backlog management, and iterative development of fraud prevention tools
Proficiency in SQL, data visualization tools, and risk analytics to advise fraud strategy decisions
Ability to convey technical risk concepts to business partners and align teams on fraud prevention objectives
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