Senior Analyst, Analytics Development – Model Governance
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Job Description
Senior Analyst supporting fraud analytics by developing and optimizing machine learning models at Experian. Collaborating on data insights to drive fraud prevention and governance initiatives.
Responsibilities:
- 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.
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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