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Vice President - Statistical Model - Model Development (10-19 yrs)
What we- re looking for:
- Post-graduate degree in a quantitative discipline, such as Statistics, Mathematics, Econometrics, Physics, Engineering, with experience of developing and applying statistical models within credit risk domain
- Excellent knowledge of statistics, e.g. regression analysis, reject inference, decision trees, confusion matrix, cross-validation
- Numerical programming ability using R and/or Python, and working experience with SQL
- Experience in data visualization, cleaning, and feature extraction
Skills that will help you in the role:
- Experience with the Latex document preparation system
- Knowledge of at least one static typed language; C++, Java, C# or other programming languages
- Familiar with continuous integration development framework (e.g. Teamcity), and source control (P4, Git, SVN)
- Familiar with unit-testing
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