- Bachelor's degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- 8+ years of progressive experience in credit and risk analytic roles
- Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management
- Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L and risk drivers.
- Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA
- Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques
- Ability to lead project teams and coordinate with multiple stakeholders.
- Strong understanding and willingness to work hands on, using exploratory techniques which can sometimes involve advanced statistics.
- Excellent communication skills for interaction/coordination/project and skill prioritization with heads of functions
- Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution
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