Senior Analyst, Analytics Development & Model Governance
Core
Develop, validate, and optimize statistical and machine learning models to detect and prevent fraud, while building tools for scalable model development and governance.
Role type
Senior IC machine learning analyst (fraud detection)
Builds
Production fraud detection models, model development tools, and monitoring frameworks
Domain
Financial services / Fraud analytics
Deliverable
production ML models
Required skills
Statistics, machine learning (regression, XGBoost), Python (PySpark, Polars, NumPy, Pandas), data ingestion, exploratory data analysis, model validation, deployment, UNIX/Linux scripting, cloud platforms (AWS)
Preferred skills
Java, debugging production systems
Technologies
PySpark, Polars, NumPy, Pandas, XGBoost, AWS, Bash, Spark
Responsibilities
Develop, validate, and optimize statistical and machine learning models; Design and implement features to improve model performance; Build tools and frameworks for scalable model development; Conduct model governance activities including validation and documentation; Perform exploratory data analysis and assess data quality; Package, deploy, and support models in production environments.
Seniority
Senior, hands-on IC
