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Senior Analyst, Analytics Development – Model Governance

RiskRiskFull TimeRemoteSeniorTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$89.9K - $155.8K / year

Seniority

Senior

Job Description

Senior Analyst, Analytics Development – Model Governance

Experian

• Develop, validate, and optimize statistical and machine learning models, including regression and XGBoost, to detect and prevent fraud. • Design and implement features to improve model performance and stability. • Build tools and frameworks to support scalable model development, evaluation, and monitoring. • Evaluate model performance and conduct comparative analyses across approaches. • Perform exploratory data analysis and assess data quality across diverse datasets. • Enrich and integrate data from internal and external sources. • Package, deploy, and support models in production environments. • Conduct model governance activities, including validation, documentation, and ongoing monitoring. • Produce reports, visualizations, and summaries to support decision-making.

Job Requirements

  • 2+ years of experience in data science, analytics, or a related field.
  • Degree (undergraduate or graduate) in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline, or an equivalent combination of education and experience.
  • Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas.
  • Solid foundation in statistics and machine learning best practices.
  • Experience with regression, XGBoost, and other core ML algorithms.
  • Hands-on experience across the full model lifecycle: data ingestion, EDA, modeling, validation, and deployment.
  • Experience building or supporting model development tools or pipelines.
  • Familiarity with model governance frameworks covering validation, monitoring, and documentation.
  • Experience communicating analytical concepts to diverse audiences.
  • Experience working with large-scale data processing frameworks such as Spark.
  • Proficiency in UNIX/Linux environments and scripting, including Bash.
  • Familiarity with object-oriented programming principles.
  • Exposure to cloud platforms (AWS preferred).
  • Experience debugging or supporting production systems; bonus: Java familiarity.

Benefits

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, vision, and matching 401K.
  • Flexible work environment, ability to work remote, hybrid or in-office.
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.

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