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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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