Equifax is a market leader in providing total information solutions to businesses and consumers. Our products and services help companies minimize their financial risk and maximize growth opportunities while enabling consumers to better protect and manage their financial health. The foundation of Equifax is its talented, dedicated employees. We accomplish our goals by drawing upon the experience, energy and teamwork of our employees, who consistently drive success by anticipating change and executing with confidence and passion.
Data and Analytics, the advanced analytical division of Equifax, offers state of the art solutions to current and emerging business challenges. The focus of the Equifax Data & Analytics organization is to harness the collective power of our vast data assets, state of the art systems, and advanced analytics to generate actionable insights for our business and customers. Our US Information Services business is seeking a Senior Statistician to construct best in class analytical solutions and business insights for Equifax. This position will be located at our Atlanta Midtown or Alpharetta office.
Formulation of new modeling solutions to commercial clients across industries including but not limited to: banking and lending, rentals and leasing, telecommunications, transportation, manufacturing, utilities, hedge funds and other markets.
Utilize diverse data sources to craft best in class solutions using various modeling techniques
Ensure quality deliverables within timeline, working under a project plan and design
Create detailed documentation outlining design and technical specifications of each solution
Cooperate with Model Risk Management, Legal/Compliance, Data Governance teams to identify and remediate model risks
Work with Technology teams to ensure accurate implementation, including audit of code
Perform QA analysis on solutions developed by other statisticians
Perform feasibility analyses to demonstrate value of different hypotheses proposed by various parties throughout the organization
Research new and advanced predictive modeling techniques as appropriate for a specific solution
Master’s degree or higher in Statistics, Mathematics, Economics or other related discipline
5+ years’ experience with the development of risk solutions across the customer life cycle along
Extensive experience in predictive analytics, risk management and/or marketing for commercial lending
Knowledge of various sources of data such as credit bureau, customer application, marketing and/or macroeconomic data. Familiarity with commercial credit data preferred.
Experience building logistic and linear regression and machine learning and artificial intelligence solutions required
Experience with SQL, Python, R, or SAS is required; Experience with Hadoop, Hive, Impala, Google/AWS Cloud is a plus
Excellent verbal and written communication skills with the ability to interact with multiple departments in solving cross-departmental issue
Detail oriented, proactive, efficient with ability to accurately gather and analyze data
Ability to create new ideas for statistical solutions to customer’s business issues
Experience developing and implementing solutions in a highly-regulated environment preferred
Familiarity with Agile methodology
Experience with fraud analytics and solution is a plus