Fraud Risk Analyst, Strategy & Analytics - Promo Abuse Experienced (Individual Contributor) Sin[...]

Monee; Singapore; Hybrid; SGD 100,000 - 160,000; Full time

Job summary

Monee, a leading digital payments provider in Southeast Asia, is seeking a Fraud Risk Analyst to safeguard ShopeePay promotions and cashback ecosystems. You will analyze transaction patterns, identify vulnerabilities in campaigns, and design proactive defenses to prevent losses.

Collaborating with Marketing, Product, Merchants, and Data Science, you will implement real-time risk rules, monitor KPIs, and conduct post-mortems to prevent recurrence while maintaining smooth user experiences.

Qualifications

• Bachelor’s degree or higher in a related field.
• Proficiency in SQL to query high-volume databases.
• Experience with Python or R for data analysis or modeling.
• Familiarity with Tableau/Power BI/Qlik Sense.

Responsibilities

• Review promo campaigns to identify fraud vulnerabilities before launch.
• Analyze large datasets to detect promo abuse trends.
• Design real-time risk rules and thresholds to block fraud.
• Collaborate with Marketing, Product, Merchants, and Data Science to build automated features that reduce promo leakage.
• Lead incident investigations and implement immediate mitigation strategies.
• Define KPIs like Fraud ROI and False Positive Rates; report to senior leadership.

Skills

SQL

Python

R

Tableau

Power BI

Education

Bachelor’s degree or higher in related field

Tools

Tableau

Power BI

Qlik Sense

Job description

Fraud Risk Analyst, Strategy & Analytics - Promo Abuse

Experienced (Individual Contributor)

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

About the team:

As a Fraud Risk Analyst specializing in Promo Abuse, you will be responsible for safeguarding ShopeePay’s promotional budgets, vouchers, and cashback/coin ecosystems. You will analyze transaction patterns, identify vulnerabilities in marketing campaigns, and design proactive defense mechanisms against both casual exploiters and organized fraud syndicates (such as multi-accounting, fake merchant collusion, and bot attacks). This role sits at the intersection of data analytics, product optimization, and risk management.

Job Description:

• Risk Assessment & Campaign Review: Review upcoming ShopeePay promotional campaigns, referral programs, and voucher mechanics to identify potential loopholes and fraud vulnerabilities before they go live.
• Fraud Detection & Pattern Analysis: Deep-dive into large-scale transactional, device, and behavioral datasets to identify emerging promo abuse trends, including app-cloning, SIM farming, fake merchant cash-outs, and self-referral chains.
• Rule & Policy Optimization: Design, implement, and tune real-time risk engine rules and velocity thresholds to block malicious actors while maintaining a seamless user experience for genuine customers.
• Cross-Functional Collaboration: Partner closely with Marketing, Product, Commercial Merchants, and Data Science teams to build scalable, automated features (e.g., advanced device fingerprinting, KYC triggers) that minimize promo leakage.
• Incident Response & Post-Mortem: Lead investigations into sudden budget drains or coordinated exploit incidents. Conduct root-cause analyses and implement immediate mitigation strategies to prevent recurrence.
• Reporting & Metrics Tracking: Define and track key performance indicators (KPIs) for promo abuse, such as Fraud ROI, False Positive Rates, and total prevented loss, presenting insights regularly to senior leadership.

Requirements:

• Bachelor’s degree or higher in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or a related field.
• Proficiency in SQL is mandatory (ability to query complex, high-volume databases independently).
• Experience with Python or R for data analysis, data manipulation, or basic predictive modeling is highly preferred.
• Familiarity with data visualization tools like Tableau, PowerBI, or QlikSense is a plus.
• Strong analytical thinking, pattern recognition, and investigative skills. You should possess a "think like a fraudster" mindset to anticipate how a system or promotion can be exploited.
• Excellent communication and stakeholder management skills, with the ability to translate complex technical fraud findings into actionable business advice for marketing and product teams.