What are the responsibilities and job description for the Commercial Statistical Analyst position at Equifax?
The Commercial Statistical Analyst will work as part of Equifax's Commercial team that supports customers using Equifax's products for business-to-business use cases. The Commercial Statistical Analyst will be responsible for performing a variety of quantitative analyses for Equifax customers, or prospective customers, including financial service and other credit granting institutions, across the U.S. This position provides extensive opportunity for the right individual to be creative, grow, learn new things, and advance professionally. Intelligence, dedication, and the ability to work in an unstructured environment are the keys to success in this position.
What you’ll do
What you’ll do
- Analyze the predictiveness of Equifax’s scores and risk models for specific institutions
- Analyze the predictiveness of institutions' own scores, models and current credit/risk practices
- Evaluate the effectiveness of various methods of combining multiple scores and models, using alternative credit decisioning strategies, calculating the resulting economic impact, and presenting the findings to the institutions
- Work with institutions to help develop special datasets to be used to build custom scores and models
- Participate in the production of custom benchmarking and consulting studies for clients
- Design of new periodic statistics, proof of concept tools, score analysis, and customized research for clients
- Be able to explain Equifax solutions, complex analyses, and findings to internal stakeholders and external customers
- Collaborate with other Analytics professionals, Sales, Operations, I.T. staff, and management to support Equifax's customers' needs
- Work on a variety of other projects, as they arise
- Travel: up to 10% (e.g. once per month, usually a day trip or one night stay)
- College degree with a quantitative major (mathematics, statistics, computer science, engineering) or a business/economics major with significant quantitative coursework
- 5-7 years of professional experience are required
- Master’s Degree
- High level of mathematical ability and logical thinking
- Fluent English and strong verbal and written communications skills
- Knowledge of SQL, SAS, R or programming languages
- Experience working in credit/risk, data analytics, or other financial services roles
- Coursework or practical experience with Accounting and Statistics, particularly analyzing and working with very large datasets