Conduct in - depth reviews of credit scoring and other internally developed predictive models by assessing development methodology documentation and monitoring practices. Act as internal consultant and will be interacting with all levels of management on a regular basis. Research and recommend improvements to statistical model development and monitoring methodologies • Support and reviews company credit risk management practices primarily focusing on statistical modeling • statistical techniques to validate model performance. • Understand and make recommendations on the ways in which The company is uses statistical and financial models to predict profitability • Validate the statistical analysis that M and A creates and to look for ways to improve their modeling and analysis. Work on independent validation models and performing data analysis. • Will work in a team environment but is expected to be able to work independently with limited supervision.
Requirements: • Ability to effectively establish and maintain solid working relationships with statisticians and business analysts across the lines of business is critical to the success of this position. • Bachelors degree in Statistics Economics or other quantitative field • Proficiency in econometric or statistical modeling and analysis of limited dependent variables • 2+ years experience in the financial services industry preferably in consumer lending. • Experience with statistical modeling packages such as SAS or SPSS • Advanced MS Excel and PowerPoint Skills • Ability to handle multiple tasks simultaneously • High degree of initiative and personal ownership • Strong quantitative and analytical skills • Strong problem solving and conceptual thinking abilities • Demonstrated ability to work in a fast - paced entrepreneurial environment • Experience handling multiple concurrent project • Strong communication interpersonal and leadership abilities • Graduate degree in Statistics Economics or other quantitative field • 2+ years experience in credit scoring or other types of predictive modeling • Experience in developing financial (NPV) models and familiarity with discounting theories • Ability to integrate statistical and financial modeling concepts
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