Equifax · 1 day ago
Data Scientist, Model Risk Management
USA - Atlanta - One Atlantic Center
Full-time
Hybrid
Senior Level
5+ years expEquifax is where you can power your possible. They are looking for a Data Scientist, Model Risk Management to join their Model Risk Management team, where the role involves conducting model validation across various applications while ensuring high-quality solutions.
AnalyticsConsultingDatabase
No H1B
Responsibilities
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
Qualification
Required
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
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
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
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
Preferred
Experience in the credit risk analytics domain is preferred
Master's Degree or PhD in Data Science, Computer Science, Mathematics, Engineering, Operations Research, Statistics or other related discipline
Experience as a Data Scientist in the banking industry
Working knowledge of Google cloud and any other cloud environment
Experience in the UNIX environment is preferred
Benefits
Comprehensive compensation and healthcare packages
401k matching
Paid time off
Organizational growth potential through our online learning platform with guided career tracks
Company
Equifax
Equifax is a data, analytics, and technology company for automotive, healthcare, and insurance industries.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1M2009-09-04Post Ipo Equity· $1M
1971-05-11IPO
Leadership Team
John Gamble
Corporate Vice President, Chief Financial Officer
Trevor Burns
SVP Corporate Investor Relations
Recent News
2026-01-06
2025-12-20
MarketScreener
2025-12-18
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