Risk Data Scientist II
Core
Develop and monitor quantitative models for Operational Risk and Compliance, ranging from data analysis and methodological definition to model evolution and production support.
Role type
Senior IC quantitative risk data scientist
Builds
Production ML models for risk and compliance applications
Domain
Financial services, Operational Risk, Compliance
Deliverable
production ML models
Required skills
Python, PySpark, Databricks, Pandas, Scikit-learn, quantitative modeling, data analysis, statistical methods
Preferred skills
Machine Learning, Credit models, Scoring models, Operational Risk models, Compliance models, Provision modeling (labor/civil)
Technologies
Python, PySpark, Databricks, Pandas, Scikit-learn
Responsibilities
Develop and monitor quantitative models for Operational Risk and Compliance; Analyze production models to investigate behaviors and answer questions; Propose new approaches and methodologies to challenge existing solutions; Work with large volumes of data to develop structured code for model productionization.
Seniority
Senior, hands-on IC