Risk Analyst

@ Reap

About 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. Our stablecoin-powered corporate cards, payments, and expense management tools streamline financial operations, and our APIs facilitate integration of stablecoin-enabled finance into various products and services, including Visa card issuance and cross-border payments.

Why Reap?

Join a high-impact fintech startup building secure financial infrastructure at the intersection of fraud prevention, risk management and data analytics. This role allows you to shape risk strategies within global payments and Web3 environments as Reap expands into new markets and products.

Your Mission

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 build strategies to keep our platform secure and resilient.

You Will

• Champion data-driven risk decision-making and translate insights into strategies.
• Analyze transaction and portfolio data to uncover risks and vulnerabilities.
• Develop policies, thresholds, and risk models balancing security and customer experience.
• Build and refine dashboards, models, and detection tools against fraud.
• Lead investigations into high-risk behaviors and implement preventive measures.
• Leverage machine learning and anomaly detection to enhance fraud monitoring.
• Collaborate with product, compliance, and engineering teams to influence risk frameworks.

Your Superpowers

If you have 3-5 years in fraud, risk or data analytics, deep understanding of credit card networks, strong analytical and statistical skills, and the ability to work independently in a hybrid/remote setting, this role is for you.

Nice to Have

• Experience in building machine learning models for fraud detection.
• Familiarity with big data technologies like Spark, Hive, Snowflake, or BigQuery.
• Knowledge of network analysis or graph-based techniques for detecting fraud rings.

Why You'll Love it Here

• High-impact role in a growing fintech startup.
• Flexible hybrid/remote work environment with a global team.
• Insurance coverage after probation.
• Access to innovative AI tools and continuous learning opportunities.

Key skills/competency

• Risk Management
• Data Analytics
• Fraud Detection
• Machine Learning
• Statistical Modeling
• Credit Card Processing
• Dashboard Development
• Transaction Analysis
• Compliance
• Problem Solving