Senior Product Manager - Fraud at Kuda Bank

We are looking for a Product Manager to join Kuda’s Fraud Prevention squad. In this role, you will focus on the strategy, development, and optimization of features aimed at preventing fraud across our platform. You’ll work on enhancing fraud detection mechanisms, reducing risks, and ensuring that Kuda continues to deliver secure and trustworthy financial services to our customers.

You will collaborate closely with cross-functional teams, including Data Science, Engineering, Fraud Operation teams among others, to implement fraud prevention measures and ensure a seamless and secure user experience. This is a key role in helping us protect our customers and maintain Kuda’s reputation as a reliable, secure platform for digital banking.

Key Responsibilities

• Take ownership of the fraud prevention roadmap, working closely with the team to deliver features that enhance the platform’s security and reduce fraudulent activity.
• Collaborate with internal teams to define product requirements and ensure compliance with regulatory standards related to fraud detection and prevention.
• Monitor fraud-related metrics and OKRs, and use these insights to inform product decisions and improvements.
• Develop and enhance fraud prevention features, such as transaction monitoring, anomaly detection, and account verification.
• Collaborate with the Credit, Compliance, and Engineering teams to implement fraud detection models and solutions that balance security with user experience.
• Run and analyze A/B tests to evaluate the effectiveness of fraud prevention measures.
• Prioritize product features and improvements to mitigate fraud risks while maintaining a smooth user experience.
• Coordinate the development of features with cross-functional teams, ensuring timely delivery and high-quality execution.

Requirements

• 5+ years of experience in product management, with a focus on fraud prevention or risk management.
• Strong understanding of fraud detection techniques, including transaction monitoring, anomaly detection, and fraud analytics.
• Familiarity with KYC (Know Your Customer) processes and regulatory requirements related to fraud prevention.
• Experience working with data to understand fraud patterns, analyze risks, and measure outcomes.
• Ability to collaborate effectively with cross-functional teams, including Design, Engineering, and Risk teams.
• A test-and-learn mindset: comfortable running experiments and using data to make informed decisions.
• Strong execution skills: focused on delivering impactful features with a bias for action.
• Excellent communication skills and ability to present findings and insights to internal stakeholders