Data Analyst
Fort Worth, TX, United States
Primary Duties:
Leverage analytical tools to perform routine data collection, analysis and reporting of credit risk KPIs (i.e., delinquencies, vintage losses rates, application conversion) to monitor and communicate trends of loan portfolios.
- Mine, model, analyze large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and analyzing customer behavior using the following predictive modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.
- Build and validate a variety of statistical models, provides analytic support, and develops new criteria and/or strategies
- Perform product or other segment level analytics to analyze performance of existing products and assist with roll-out of new product policy and pricing strategies for various product offerings.
- Implement credit models, rules, scorecards, and strategies into the companys Decision Engine software that houses the Credit Policy. Work with internal IT resources to test and deploy new implementations.
- Collaborate with other departments across the organization to drive improvement in quality, volume, service, and profitability
- Identify process improvement opportunities and involve in developing/executing projects
Education:
Bachelors degree in a quantitative subject. (Mathematics, Statistics, Economics preferred)
Required Experience:
3-5 years experience preferred in the analytical or financial services field.
Technical skills / abilities:
Strong technical aptitude. Familiarity with ETL processes, SQL, SAS, R highly preferred.
Personal skills
Understanding of business needs/requirements, ability to effectively communicate with both internal departments and external vendors/clients, ability to self-motivate and manage multiple analytical projects simultaneously
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