
Flutterwave
Finance & FinTech
Description
Required Competency and Skillset to be a Waver
- 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
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.
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