Why Reap?
Reap is a global financial technology company headquartered in Hong Kong that enables 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.
Backed by leading investors including Index Ventures and HashKey Capital, Reap is 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 play a pivotal role in assessing risks across our card transaction ecosystem, identifying emerging patterns, and shaping 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.
You Will :
- Champion data‑driven risk decision‑making, translating analytical insights into practical strategies that strengthen our overall risk framework.
- Elevate our defenses by developing smarter policies, thresholds, and risk models that balance security, compliance, and customer experience.
- Build and refine dashboards, models, and detection tools that keep us one step ahead of fraudsters.
- Lead deep‑diving investigations into high‑risk behaviours, identifying root causes and shaping long‑term preventive measures.
- Drive high‑impact initiatives across product, engineering, data and risk—owning roadmaps, aligning stakeholders, and embedding fraud insights into product innovation to ensure every launch balances speed, scalability, and risk integrity.
Your Superpowers
Minimum of 5‑7 years of experience in fraud, risk or data analytics teams within the fintech or financial services industry.Deep understanding of credit card networks and card transaction processing.Strong analytical and problem‑solving skills, with hands‑on experience in building risk‑oriented data products.Exceptional attention to detail, with a proven ability to identify subtle indicators of fraud within large datasets.Strong communication skills, capable of articulating complex fraud patterns and risk mitigation strategies to both technical and non‑technical audiences.Strong analytical skills and proficiency in statistical modeling, data analysis, and risk assessment techniques.Sound judgment, strategic thinking, and the ability to make informed decisions in a fast‑paced, dynamic environment.A proactive approach to identifying potential vulnerabilities and implementing preventive measures.Ability to work independently in a hybrid / remote environment.Nice to Have
Experience building and validating machine learning models for fraud detection, anomaly detection, or risk scoring.Familiarity with big data technologies (e.g., Spark, Hive, or cloud‑based data warehouses like Snowflake / BigQuery) to analyze large‑scale transaction datasets.Knowledge of network analysis or graph‑based techniques for uncovering relationships and fraud rings within complex data structures.Benefits
A high‑impact role in a rapidly growing fintech startup.Flexible hybrid / remote work environment with a global, collaborative team.Insurance coverage after probation.Use of AI tools at work — and the space to learn, experiment, and grow with them.A culture of innovation, inclusion, and continuous learning.#J-18808-Ljbffr