Senior Data Scientist – Credit Risk, Consumer Insights

Experian

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $133,109 - $239,596 per year

Job Level

Senior

Tech Stack

ETLNumpyPandasPythonSQLTableau

About the role

  • Build credit risk dashboards, reports, and analytics using Python and Tableau.
  • Analyze the credit lifecycle (underwriting, performance, delinquency, and collections) to identify important insights.
  • Develop and automate reporting pipelines and monitoring frameworks.
  • Translate analytics into strategies for risk, business, and client teams.
  • Perform deep‑dive analyses on credit behavior, defaults, and scoring models.
  • Present insights to clients in clear, applicable formats.
  • Guide clients in using dashboards and analytics for decision‑making.
  • Ensure data quality, accuracy, and compliance with reporting standards.
  • Improve existing reporting and build new analytics for better forecasting and risk assessment.
  • Mentor junior team members on visualization, reporting, and credit analytics.
  • Be a trusted advisor in client meetings, presentations, and workshops.

Requirements

  • 5+ years in credit risk analytics, data science, or BI with credit lifecycle focus.
  • Python skills (Pandas, NumPy, SQLAlchemy, and Matplotlib).
  • Proficient in Tableau dashboarding and data visualization.
  • Experience with credit risk metrics, loan performance, and lifecycle modeling.
  • Experience with large datasets and data warehouse environments.
  • SQL for ETL and automated reporting.
  • Clear communicator, able to simplify complex insights.
  • Client-facing experience translating analytics into strategies.
  • Background in financial services, FinTech, or lending.
  • Experience with ML models for credit risk.
  • Familiarity with regulatory reporting in credit/lending.
  • Bonus: Knowledge of Power BI or Looker.
Benefits
  • Flexible Time Off: 20 Days

Applicant Tracking System Keywords

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

Hard skills
PythonTableauSQLPandasNumPySQLAlchemyMatplotlibcredit risk analyticsdata visualizationmachine learning models
Soft skills
clear communicatormentoringclient-facingpresentation skillsanalytical thinkingstrategic thinkingproblem-solvingcollaborationinsight translationdata quality assurance