Responsibilities:

📍 Product Strategy & Vision: Define product vision and roadmap for risk detection, fraud prevention, KYC/KYB improvements, transaction monitoring, and real-time risk scoring systems. Evaluate emerging risks in crypto trading, payments, P2P, futures, and DeFi-related products. 📍Execution & Delivery: Work cross-functionally with engineering, data, and operations to ship high-impact risk controls and infrastructure. Use data to identify gaps, design automated detection logic, and define key KPIs (e.g., false-positive rates, loss exposure, detection latency). Prioritize features based on risk severity, user impact, ROI, and operational feedback. Manage full product lifecycle from problem definition to launch, iteration, and optimization. 📍Technical & Risk Expertise: Understand algorithms for anomaly detection, risk scoring, pattern recognition, identity verification, blockchain intelligence, and anti-fraud systems. Collaborate with data scientists to build and refine ML-based models. 📍Cross-Functional Collaboration: Partner with Compliance, AML, Legal, Security, Customer Support, and Country Ops teams to ensure risk solutions meet global standards. Communicate product decisions clearly across diverse teams, including executives.

Requirements:

📍 3–7+ years in Product Management in one or more of the following domains: Risk / Fraud / AML / Trust & Safety / Security or Fintech, payments, crypto, or trading platforms 📍Strong technical aptitude; able to work with engineers and data teams on system design and logic. 📍Proven ability to solve ambiguous, high-impact risk problems using data. 📍Experience designing risk decision engines, case management systems, or fraud detection tools is a strong plus. 📍Excellent communicator, able to translate complex risk concepts to non-technical stakeholders.

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