Fraud Analytics
Job Summary
Job Description
Fi Money is a new-age money management app enabling users to save, pay, invest, and borrow. The company is seeking a Fraud/AML Analyst to join its Analytics team. This role involves monitoring and analyzing customer transactions and behaviors to detect and prevent fraud and financial crimes. The analyst will collaborate with business, product, and operations teams to enhance fraud detection and AML controls, and build machine learning models to identify risk patterns and suspicious activities. Responsibilities include investigating alerts, building and refining detection models, preparing documentation for compliance, and continuously improving detection systems.
Must have:
- 1+ years experience in fraud risk, AML analytics, or transaction monitoring
- Hands-on experience with SQL and Python for data querying and analysis
- Exposure to ML model development
- Familiarity with fraud/AML use cases in fintech, banking, or payments
- Strong analytical and problem-solving skills
- Ability to thrive in a fast-paced, cross-functional environment
- Familiarity with data visualization tools like Tableau
7 skills required
Job Details
Fi Money is a new age money management app designed to simplify your financial life. With Fi, you can save, pay, invest, or borrow, all in one place. You can track and analyze your expenses across Fi and all your other bank accounts. You can also apply for a credit card, access instant loans, and grow your wealth and more with our range of investment options.
We’re looking for a Fraud / AML Analyst to join our Analytics team. In this role, you will help us monitor and analyze customer transactions and behaviors to detect and prevent fraud and financial crimes. You will work closely with teams across business, product and operations to strengthen fraud detection and AML controls. This role also includes building and deploying machine learning models to proactively detect risk patterns and suspicious activity.
What You’ll Do:
-Monitor transactions and user behavior to detect suspicious activity
-Investigate fraud alerts, patterns, and anomalies using data
-Build and refine rule-based and ML-based models for fraud and AML detection
-Use statistical and machine learning techniques to predict and prevent financial crime
-Partner with product, tech, and operations teams to strengthen controls and automate workflows
-Prepare documentation for internal tracking and external compliance
-Continuously improve detection systems through data analysis and feedback loops
Must-Have Skills:
-1+ years of experience in fraud risk, AML analytics, or transaction monitoring
-Hands-on experience with SQL and Python — strong data querying and analysis skills
-Exposure to ML model development — from data preparation to evaluation and deployment
-Familiarity with fraud/AML use cases in fintech, banking, or payments
-Strong analytical and problem-solving skills, with attention to detail
-Ability to thrive in a fast-paced, cross-functional environment
-Familiarity with data visualization tools like Tableau
This is a 5 days work from office role and we are in Brookfield, Bengaluru.
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