Product Manager (Fintech)

This is a remote position.
Shuru is an AI, Product and Technology Engineering company helping startups and enterprises build, scale and modernise digital products. Our teams work with high ownership, first-principles thinking and an AI-native approach to solve meaningful business problems and ship production-grade technology.
We are looking for a Product Manager with 4+ years of experience, including strong exposure to Fraud, Risk, Trust & Safety, or Financial Services products. You will own and build fraud-prevention capabilities focused on protecting customers and financial transactions from emerging threats. The role will work closely with Engineering, Data Science, Risk, Operations, and Compliance teams to build scalable fraud detection and prevention products.
Key Responsibilities
Own the product roadmap for fraud prevention, detection, and Trust & Safety capabilities.
Build solutions for identifying and preventing Account Takeovers (ATO), SIM Swap fraud, identity fraud, and transaction fraud.
Develop real-time transaction monitoring and fraud decisioning capabilities.
Work with Data Science and Engineering teams to implement rule-based and ML-driven fraud detection models.
Define fraud signals, thresholds, risk scores, alerts, and automated actions.
Analyze fraud patterns, customer behaviour, false positives, and emerging attack vectors.
Balance fraud prevention, customer experience, operational efficiency, and financial risk.
Define product requirements, success metrics, and experimentation strategies.
Partner with Fraud Operations, Risk, Compliance, Engineering, and Analytics teams to improve fraud controls continuously.
Monitor product performance through metrics such as fraud loss, detection rate, false-positive rate, approval rate, and customer friction.
Requirements
4+ years of Product Management experience.
Strong experience in Fraud, Trust & Safety, Risk, Payments, FinTech, Banking, or Financial Services.
Hands-on understanding of fraud prevention and transaction monitoring systems.
Experience working with real-time financial transaction data.
Understanding of rules engines, risk scoring, and ML-based fraud models.
Experience dealing with fraud scenarios such as ATO, SIM Swap, payment fraud, identity fraud, or suspicious transaction behaviour.
Strong analytical and data-driven product decision-making skills.
Ability to work closely with Engineering, Data Science, Risk, Compliance, and Operations stakeholders.
Benefits
Competitive salary and benefits package.
Opportunity to work with a team of experienced product and tech leaders.
A flexible work environment with remote working options.
Continuous learning and development opportunities
Chance to make a significant impact on diverse and innovative projects

Work arrangement
Yes