Fraud Risk Expert, Strategy & Analytics - Credit

Monee; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A financial technology company in Singapore is seeking a Senior Antifraud Analyst to develop and implement strategies against fraud in consumer loans. The ideal candidate has at least 3 years of experience in data analytics, a strong background in SQL, and the ability to provide insights to senior management. This role is critical in monitoring fraud patterns and optimizing business strategies to enhance operational effectiveness.

Qualifications

• 3 years of hands‑on experience in data analytics.
• Experience in KYC risk management is highly desirable.
• Experience in the finance or banking sector is preferred.

Responsibilities

• Design and lead anti‑fraud strategies for loans.
• Monitor fraud patterns and optimize strategies.
• Analyze risk exposure and present insights.

Skills

Data analytics

SQL

Python

Collaboration

Education

Bachelor’s degree or higher in relevant field

Tools

SQL

Tableau

Power BI

Job description

Join to apply for the Senior Antifraud Analyst - Credit role at Monee.

Responsibilities

• Design and lead the implementation of anti‑fraud strategies for consumer loans, covering application fraud, transactional fraud, and anti‑cashout measures.
• Establish key indicators to monitor various fraud patterns and continuously review and optimize strategies based on emerging trends.
• Perform data analysis on daily risk exposure and P&L, and present insights and actionable recommendations to senior management.
• Analyze business operations and local market dynamics to assess competitive positioning and inform strategic decisions.
• Develop reports to track key performance indicators (KPIs) and support the ongoing enhancement of business policies and processes.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or a related field.
• Minimum of 3 years of hands‑on experience in data analytics.
• Proficiency in SQL is required; experience with Python is an advantage.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is preferred.
• Prior experience in KYC risk management is highly desirable.
• Proven ability to collaborate effectively with cross‑functional teams in a fast‑paced environment.
• Experience in the finance or banking sector is preferred.
• Exposure to business intelligence in the e‑commerce industry is a plus.