Business Analytics Analyst with SAS & Python
Citi (company site, opens in a new tab)3+ yrsBengaluruHybridDirect career pageEst. 12–18 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Manage and execute fraud analytics and strategy for Citi’s North American Retail Bank business, focusing on fraud lifecycle including application fraud, synthetic ID, and account takeover.
- Own and manage fraud detection rules, scores, and strategies by analyzing customer and transactional data to identify emerging fraud trends.
- Collaborate with stakeholders to recommend and implement fraud mitigation strategies and develop regular and ad-hoc reports and dashboards to monitor fraud performance.
Minimum Requirements
- Bachelor’s degree in Statistics, Economics, Finance, Mathematics, Engineering, MBA, or a related quantitative field.
- Minimum 3+ years of hands-on analytical experience with at least 3+ years in statistical analysis.
- Mandatory technical skills include SAS and SQL; Python or R is desired. Knowledge of data visualization tools such as Tableau is required.
- Work Experience Required: Minimum 3+ years hands-on analytical experience.
Ideal Candidate Profile
- Experience working in a fast-paced, dynamic environment with strong analytical and problem-solving skills applied to fraud or risk analytics.
- Capable of managing cross-functional collaboration with senior stakeholders, fraud policy, operations, and technology teams to implement fraud strategies.
- Proven ability to translate data insights into actionable strategy recommendations with experience in report/dashboard creation and stakeholder communications.