Fraud Analytics Analyst - Data Science

Job Description - Fraud Analytics Analyst

Location: Jaipur

Experience: 3-5 Years

Role Overview: Model Development, insight generation, monitoring and Support fraud detection workflows including data analysis across banking transactions and customer behavior.

Key Responsibilities

- Analyze data to identify fraud patterns and anomalies

- Develop and enhance fraud detection models (e.g., mule detection, transaction monitoring)

- Perform data analysis and feature engineering using Python and SQL

- Monitor model performance (accuracy, precision, recall, etc.)

- Work with Fraud, Business, and IT teams to implement analytics solutions

- Build reports and dashboards for fraud trends and insights

Required Skills

- Strong proficiency in Python and SQL

- Experience in data analysis and data modeling

Preferred

- Experience in Banking / BFSI domain

- Exposure to fraud risk / AML / transaction monitoring

Key Competencies

- Analytical thinking

- Problem-solving skills

- Stakeholder collaboration