Risk Manager
Singapore
Listed on 2025-12-24
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IT/Tech
Cybersecurity, FinTech -
Finance & Banking
FinTech
Why Reap?
At Reap, we’re building financial infrastructure that businesses can trust. This role sits at the intersection of fraud prevention, risk management and data analytics, giving you the chance to shape how Reap scales securely in the worlds of global payments and Web
3. As we expand across new markets and products, the complexity of our risk landscape grows too—giving you the chance to take on new challenges, lead initiatives, and make your mark on the future of secure fintech.
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.
As Reap expands into new markets and products, you will ensure our risk strategies evolve in step—enabling us to scale with confidence in the fast‑moving world of global payments and Web
3.
- 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‑dives investigations into high‑risk behaviors, 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.
If you're someone keen to be in the forefront of defending against card transaction fraud in a rapidly evolving fintech environment with a Web3 element, this is the job for you.
- 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.
- 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/Big Query) to analyze large‑scale transaction datasets.
- Knowledge of network analysis or graph‑based techniques for uncovering relationships and fraud rings within complex data structures.
- 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.
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Job Metadata- Seniority level
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Not Applicable - Employment type
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Other - Job function
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Finance and Sales
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