Equifax

Data Scientist, Model Risk Management

Equifax

full-time

Posted on:

Location Type: Hybrid

Location: Alpharetta • United States

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Tech Stack

BigQueryPythonScalaSQLTensorflow

About the role

  • Conduct model validation to verify quality of models and identify data anomalies using statistical and advanced machine learning approaches
  • Apply critical rigor and assess models built for various verticals including retail banking, auto lending, communications and utilities, mortgage, and payments
  • Research new and advanced data science techniques as appropriate for a specific solution
  • Be able to learn quickly and conduct research and exploration independently on new modeling techniques; Keep him/herself up to date to the latest in the industry
  • Must be proficient in Python and SQL and have sufficient knowledge in such advanced computational languages/applications as Big Query, TensorFlow, Scala, SAS, and/or R
  • Be able to communicate concisely in both written and oral English and to create model validation reports, including presentation to senior management, supervisory authorities, and model stakeholders
  • Must be a great team player. Must be self-motivated, disciplined and task focused; Be able to deliver high quality results within strict deadlines

Requirements

  • 5 - 7 years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena
  • Bachelor’s degree or higher in Data Science, Computer Science, Mathematics, Engineering, Operations Research, Statistics or other related discipline; Master’s or PhD highly preferred
  • Strong quantitative analytical experience, including hands-on and background in using statistics, regression modeling, neural networks, decision trees, random forest, support vector machine, kernel based methods, clustering and similar methods
  • Experience with advanced architecture including Deep Neural Networks, Generative AI, and Agentic AI frameworks is highly desirable
Benefits
  • Comprehensive compensation and healthcare packages
  • 401k matching
  • Paid time off
  • Organizational growth potential through online learning platform with guided career tracks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLBig QueryTensorFlowScalaSASRstatistical modelingregression modelingneural networks
Soft skills
communicationteam playerself-motivateddisciplinedtask focusedindependent researchcritical thinkingpresentation skillstime managementanalytical skills
Certifications
Bachelor’s degreeMaster’s degreePhD