Cape Town Region: Product Manager – Credit Risk (Finchoice) posted by Finchoice

About the Role

Weaver Fintech Group is building scalable, customer-centric financial products at pace. As we grow, our Credit Risk and Fraud platforms are critical to protecting customers and the business while enabling responsible lending at scale. We’re looking for a Product Manager to own and drive the roadmap for Credit Risk & Fraud, focusing on how we assess creditworthiness, detect and prevent fraud, automate decisioning, and continuously improve model and policy performance.

Key Responsibilities

• Own product vision and roadmap for Credit Risk & Fraud at FinChoice.
• Define clear product outcomes aligned to business goals such as portfolio quality, fraud loss reduction, decisioning speed, and regulatory compliance.
• Identify and prioritise opportunities across credit scoring, policy automation, fraud signals, and identity verification.
• Balance tactical risk controls with longer-term platform and model capability investments.
• Build a deep understanding of the credit lifecycle, fraud typologies, and operational constraints that shape risk decisions.
• Collaborate with Data Science and Risk teams to understand model performance, policy gaps, and emerging fraud patterns.
• Frame problems clearly and validate solutions before committing to build.
• Lead cross-functional delivery squads from problem definition through to launch and optimisation.
• Produce high-quality product briefs, PRDs, and outcome-focused backlogs.
• Partner closely with Engineering and Data Science to design scalable, secure, and explainable solutions.
• Manage dependencies across internal platforms, data vendors, bureau integrations, and compliance teams.

Requirements

• 5 years experience as a Product Manager in complex, data-intensive environments.
• Proven track record owning and delivering outcomes in risk, fraud, or financial services product areas.
• Experience with credit decisioning systems, fraud detection platforms, identity verification tools, or bureau integrations.
• Comfortable working in regulated environments, fintech or consumer lending experience is a strong advantage.
• Familiarity with machine learning model deployment, policy rule engines, or decisioning infrastructure is highly desirable.

Qualifications

• Formal education/certifications not specified.

Salary & Benefits

• Salary and benefits information not specified.