Product Manager (Risk & Compliance) at Flutterwave

The Role

Flutterwave is seeking a visionary Product Manager (Risk & Compliance) to bridge the gap between regulatory necessity and seamless user experience. You won't just be checking boxes; you will be the architect of our "Trust Layer." You will design and scale the automated systems from advanced KYC/KYB to real-time transaction monitoring that protect our ecosystem and enable Flutterwave to launch confidently into new global markets.

Key Responsibilities

• Strategic Risk Roadmap: Define and execute a product vision that balances aggressive growth with robust risk mitigation. Transform regulatory requirements into scalable technical features.
• Automated Compliance Infrastructure: Lead the development of automated platforms across  KYC, KYB, AML, and Sanctions screening workflows & processes to reduce merchant onboarding friction without increasing risk exposure.
• Fraud & Transaction Monitoring: Partner with Data Science and Ecosystem risk to refine real-time fraud detection engines and transaction monitoring capabilities.
• Provider Ecosystem Management: Act as the primary lead for 3rd-party risk/compliance API integrations. Continuously evaluate vendor performance (accuracy vs. cost) to ensure we are using the most efficient tools in the market.
• Regulatory Subject Matter Expertise: Act as the bridge between compliance teams and broader Product & Engineering. Translate complex multi-jurisdictional mandates into actionable technical specifications.
• Performance Optimization: Obsess over "False Positive" rates and onboarding drop-offs. Use data to streamline compliance checks, ensuring a "friction less " experience for legitimate users.

Required Competency & Skillset

• The Experience: 7+ years of Product Management experience in FinTech or Payments, specifically focused on Risk, Fraud, or Compliance.
• Technical Literacy: Deep understanding of API-driven architectures. You should be comfortable discussing how webhooks, payloads, and third-party integrations impact system latency.
• Analytical Mindset: Proven ability to use data to identify patterns of fraudulent behavior or systemic compliance gaps.
• Commercial Acumen: Ability to manage "Compliance as a Cost Center" by optimizing provider spend and improving operational efficiency.
• Domain Depth: Expert-level knowledge of KYC/AML frameworks, PCI-DSS, and transaction monitoring logic.
• Proficiency in leveraging ML models for anomaly detection, LLMs for automated regulatory reporting, and Explainable AI (XAI) to ensure data-driven risk engines remain transparent, compliant, and scalable