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.

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.

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.

Senior Analyst, Analytics Development – Model Governance

Key skills