Risk Strategy Associate

Red Begonia Limited; Hong Kong; On-site; HKD 500,000 - 800,000; Full time

Job summary

RedotPay is a global crypto payment fintech integrating blockchain solutions into traditional banking and finance infrastructure. We seek a risk management professional to lead the risk prevention and control strategy, aligning with product growth to ensure secure and compliant expansion.

You will map risk policies, oversee fraud and credit risk methods, develop models and rules, monitor trends, and review high‑risk cases.

Qualifications

• Bachelor’s degree or above in Computer Science and Technology, Mathematics, Statistics, Finance, or related fields.
• 3+ years of experience in risk management in fintech or finance.
• Hands-on experience with transaction risk control and anti-fraud strategies.
• Proficient in Hive, SQL, Python, and R for data analysis.

Responsibilities

• Map out risk prevention and control frameworks for new products and business scenarios.
• Manage fraud, credit, and order-cashing risk strategies end-to-end.
• Develop risk strategies based on current risk landscape.
• Monitor risk trends and early warning systems.
• Review materials submitted by potentially risky users.
• Optimize strategies to reduce friction and interference.

Skills

Risk management

Analytical thinking

Problem solving

Logical reasoning

Education

Bachelor's degree or higher

Tools

Hive

SQL

Python

R

Job description

RedotPay is a global crypto payment fintech integrating blockchain solutions into traditional banking and finance infrastructure. Our user-friendly crypto platform empowers millions globally to spend and send crypto assets, ensuring faster, more accessible, and inclusive financial services. RedotPay advances financial inclusion for the unbanked and supports crypto enthusiasts, driving the global adoption of secure and flexible crypto-powered financial solutions. Join us in shaping the future of finance and making a meaningful impact on a global scale.

About the Role

Responsible for the company’s risk control strategy management. Based on product and business growth needs, leverages sharp risk insights to lead the establishment of a risk prevention and control system, builds efficient and intelligent risk prevention and control capabilities, and ensures business growth.

Responsibilities

Policy Framework

• For new products and new business scenarios, map out risk prevention and control frameworks, develop risk policies, processes, and governance plans to ensure smooth launch and development of new businesses.
• For fraud risk, credit risk, and order-cashing/”brushing” risk, complete full-cycle risk strategy management including strategy design, evaluation, deployment, monitoring, validation, and iteration.
• Develop corresponding risk strategies promptly based on the current risk landscape and fraud characteristics.

Case Analysis

• Use machine learning and statistical modeling tools to identify fraud cases, analyze fraud tactics, reconstruct the end-to-end fraud chain, and quantify and represent cases through effective feature engineering to support strategy deployment.

Monitoring & Early Warning

• Monitor risk trends, strategy effectiveness, and operational process performance.
• Build risk early-warning capabilities to proactively alert potential risks, improve the efficiency of sensing risk conditions, and more effectively control risk by combining risk operations with strategy deployment.
• Review materials submitted by potentially risky users.
• Optimize risk strategies based on submitted materials, approval rates, and other factors to reduce user friction/strategy “interference.”

Qualifications

• Bachelor’s degree or above in Computer Science and Technology, Mathematics, Statistics, Finance, or related fields.
• 3+ years of experience in risk management. Familiar with financial, fintech, or consulting backgrounds.
• Hands-on experience in transaction risk control strategies and anti-fraud strategies, with in-depth practical understanding of risk strategy formulation, model building, and rules engine design.
• Proficient in data analysis tools including Hive, SQL, Python, and R.
• Familiar with risk control technologies and tools such as risk models, anti-fraud systems, and decision engines.
• Strong logical thinking and problem-solving skills; able to quickly break down complex business processes and risk points and design reasonable, effective risk control solutions.