Fraud Modeling Analyst
Citi (company site, opens in a new tab)3+ yrsKarnatakaOn-siteDirect career pageEst. 12–22 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, validate, and test fraud detection models including statistical analysis, data validation, and performance evaluation.
- Partner with Strategy and Model Risk Management teams across the model lifecycle including validation, performance evaluation, and reviews.
- Assess risk and ensure compliance with regulatory requirements and industry best practices for fraud detection and model validation.
Minimum Requirements
- 3+ years of hands-on analytical experience.
- 2+ years experience in statistical analysis with working knowledge of Python (mandatory) and familiarity with Hive, Spark, or SAS.
- Master's or Bachelor's degree in Statistics, Economics, Finance, Mathematics or related quantitative field; Engineering/MBA from premier institute also accepted.
- Strong understanding of statistical modeling techniques including machine learning algorithms and experience with model validation techniques such as ROC, precision-recall, KS, cross-validation.
Ideal Candidate Profile
- Experience working independently in a fast-paced environment handling large transactional datasets with tools like Hive and SQL.
- Strong skills in quantitative analysis, problem-solving and application of advanced statistical and ML modeling techniques specifically for fraud detection.
- Ability to communicate effectively with stakeholders and maintain risk and control mindset, escalating issues as needed.