Noida, Uttar Pradesh, India
Information Technology
Full-Time
Citi
Overview
- Strong Analytical skills in conducting sophisticated analysis using vendor/bureau data, customer data to solve business problems
- Understanding of Key performance indicators (KPI) pertaining to credit and fraud risk and utilize advanced financial analytical skills and be able to create, read, interpret, and evaluate these tracking reports into actionable insights.
- Develops Risk Segmentation models by deploying sophisticated statistical techniques like CHAID, cluster analysis, pattern recognition etc. for credit abuse/first party fraud risk discrimination at Acquisition and Existing Customer Management stages
- Utilize UNIX and Statistical Analysis System (SAS) to perform risk, financial and data analyses including profiling, sampling, reconciliation, and hypothesis testing
- Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and strategy implementation teams. Implement initiatives to ensure consistency and compliance with global credit policies
- 2+ years of relevant experience
- Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
Job Family Group:
Decision Management
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Job Family:
Business Analysis
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Time Type:
Full time
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