Risk Strategy Associate

RedotPay

Hong Kong

On-site

HKD 420,000 - 660,000

Full time

12 days ago
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Job summary

RedotPay is a global crypto payments fintech seeking a senior risk manager to lead risk prevention and control strategy, aligning with product growth and fintech standards. You will build frameworks for new products, oversee fraud, credit and order-cashing risk, and apply ML-driven analysis to detect and mitigate threats while maintaining smooth business expansion.

Your work will blend data insight with governance, monitoring risk trends, and refining strategies to reduce friction for users and

Qualifications

  • Bachelor’s degree or higher in CS, math, statistics, finance, or related fields.
  • 3+ years of experience in risk management in fintech or related industries.
  • Hands-on experience with transaction risk control and anti-fraud strategies.
  • Proficiency in Hive, SQL, Python, and R for data analysis.
  • Familiar with risk models, anti-fraud systems, and decision engines.
  • Strong logical thinking and ability to break down complex processes.

Responsibilities

  • Map risk prevention and control frameworks for new products and scenarios.
  • Design and deploy risk policies, processes and governance for launches.
  • Lead full-cycle risk strategy management for fraud, credit, and order-cashing risks.
  • Analyze fraud cases using ML and statistical modeling and feature engineering.
  • Monitor risk trends and early-warning signals; adjust strategies to reduce friction.
  • Review materials from potentially risky users and refine approval processes.

Skills

Risk management
Fraud prevention
Data analysis
Logical thinking
Problem solving

Education

Bachelor’s degree or above in CS/Math/Statistics/Finance

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.
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