Fraud Analyst Manager (Lending, Funding)

Keyword: Data Analytics, Fraud, Risk, Data Architecture, Data Intelligence

• We are looking for a Practical Fraud Analyst Manager for our leading Digital Lending client. As a Fraud Analyst Manager, you will play a critical hands-on role in building, strengthening, and scaling fraud detection and prevention capabilities within a fast-growing digital lending environment. This role goes beyond day-to-day monitoring—you will help shape how fraud is measured, detected, investigated, and prevented from the ground up. You are expected to work deeply with data, partner closely with Product, Risk, and Engineering teams, and translate insights into practical systems, rules, and controls that protect the business while enabling sustainable growth.
• What You'll Do:

• Lead fraud analytics and detection initiatives across the digital lending lifecycle, including onboarding, credit assessment, disbursement, and repayment.
• Collaborate closely with Product and Engineering teams to define and implement fraud signal instrumentation for user behavior, devices, documents, and transactions.
• Analyze large-scale behavioral and transactional data to identify anomalies, suspicious patterns, and credit fraud indicators such as synthetic identities, document manipulation, and borrower abuse.
• Conduct deep-dive investigations into high-risk borrowers, applications, and transactions to uncover root causes and emerging fraud typologies.
• Translate analytical insights into actionable fraud detection rules, monitoring frameworks, alerts, and risk scoring logic, and continuously optimize their performance.
• What You'll Bring:

• Minimum 7 years of experience in fraud, risk, or financial crime roles within digital lending, fintech, or banking environments.
• Bachelor’s degree in Finance, Engineering, Data Science, Statistics, Computer Science, or a related field.
• Strong ability to detect patterns and anomalies in behavioral, transactional, and application data.
• Solid understanding of fraud typologies, including identity fraud, synthetic identities, shell entities, and document manipulation.
• Hands-on experience with querying, analysis, and visualization tools, and the ability to clearly communicate data-driven recommendations to cross-functional stakeholders.

What sets this company apart:

Our client is a Digital Lending enowned for its commitment to innovation, quality, and service. hey offer an inclusive and supportive work environment where every team member is valued and encouraged to reach their full potential. Their culture is one of collaboration, respect, and continuous learning. With a strong focus on work-life balance, they provide flexible working arrangements that cater to different life stages.

What's next:

Ready to take your career to the next level with this exciting opportunity? Don't hesitate!

Apply today by clicking on the link!

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.