Quantitative Analytics & Model Analyst Senior - C&IB - Commercial
Core
Develop, implement, and maintain quantitative and machine learning models for analytics and decision support in commercial banking.
Role type
Senior Quantitative Analytics & Model Analyst
Builds
Production ML models and quantitative strategies for commercial banking decision-making
Domain
Banking / Financial Services / Credit Risk
Deliverable
production ML models
Required skills
Python, Logistic Regression, Linear Regression, Machine Learning, Statistical Analysis, Feature Engineering, Model Validation, Data Analysis, Mathematical Modeling
Preferred skills
PySpark, Distributed Data Environments, Credit Risk Metrics (PD, LGD, EAD/ED), Banking Domain Knowledge
Technologies
Python, PySpark
Responsibilities
Develop and maintain quantitative and machine learning models; Apply statistical techniques to solve business problems; Perform data analysis, feature engineering, and model validation; Collaborate with cross-functional partners to translate requirements into analytical solutions; Support model lifecycle activities including enhancements and monitoring; Prepare documentation and presentations to communicate model insights.
Seniority
Senior, hands-on IC
