Risk Analyst

Overview

Join to apply for the Risk Analyst role at Reap . Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement.

Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale. Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services—from issuing Visa cards to facilitating cross-border payments. Reap is backed by leading investors including Index Ventures and HashKey Capital, building the future of borderless, stablecoin-enabled finance.

Your Mission

Your mission is to strengthen Reap’s payments infrastructure by driving smarter risk decisions through data and analytics. You will assess risks across our card transaction ecosystem, identify emerging patterns, and shape strategies that keep our platform secure and resilient. By leveraging data-driven insights, advanced risk tools, and cross-functional collaboration, you will help build frameworks that balance security with customer experience as Reap expands into new markets and products.

Your Responsibilities

• Champion data-driven risk decision-making, translating analytical insights into practical strategies that strengthen our overall risk framework.
• Analyze transaction and portfolio data to uncover emerging patterns, vulnerabilities, and evolving market risks.
• Develop smarter policies, thresholds, and risk models that balance security, compliance, and customer experience.
• Build and refine dashboards, models, and detection tools to stay ahead of fraudsters.
• Lead deep-dive investigations into high-risk behaviors, identifying root causes and shaping long-term preventive measures.
• Leverage modern analytical techniques, including machine learning and anomaly detection, to strengthen fraud monitoring.
• Analyze transaction data to detect fraud patterns, investigate anomalies, and take action to prevent losses.
• Collaborate cross-functionally with product, compliance, and engineering teams to ensure fraud insights influence product innovation and risk frameworks.

Your Qualifications

Nice to Have

Why You'll Love It Here

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