About the job Senior Product Manager - Risk, Trust & Safety
You will be the dedicated product owner for KYC/KYB, fraud detection, merchant risk scoring, and compliance-related features. You will work closely with Risk Function to translate risk strategy into product roadmaps, while partnering with Engineering to build robust, scalable systems.
You will operate with significant autonomy in day-to-day execution while aligning with the Head of Risk on strategic direction.
Key Responsibilities
Own Risk, Trust & Safety Product Roadmap: Define, plan and execute the product roadmap for Risk, Trust & Safety
Drive Fraud Prevention: Build and improve fraud detection systems that protect merchants and the business while minimizing friction
Navigate Regulatory Requirements: Ensure products comply with local regulations
Balance Risk and UX: Design risk controls that protect the business without creating unnecessary friction for legitimate merchants
Cross-Functional Collaboration: Work closely with Compliance, Legal, Engineering, and Operations teams to ship risk products
Define Success Metrics: Establish and track KPIs including fraud rate, KYC turnaround time, false positive rate, and compliance audit readiness
Qualifications
5+ years of product management experience, with at least 3 years in risk, fraud, compliance, or trust & safety
Experience in fintech, payments, or financial services strongly preferred
Understanding of KYC/KYB processes, fraud detection systems, and risk scoring models
Technical depth — comfortable working with APIs, understanding system architecture, and collaborating with engineers on complex problems
Experience navigating regulatory requirements (OJK, BI, or similar financial regulators)
Detail-oriented mindset — thorough in documentation, edge cases, and compliance requirements
Data driven and strong analytical skills
Experience in agile methodologies
AI Mindset
At BukuWarung, we are an AI-first product team. We expect all PMs to leverage AI tools to multiply their output and impact. Prior experience in leveraging AI or building products with AI strongly preferred.