The role involves driving the development of analytical solutions to support key business objectives for Banking Operations & Analytics within the COO office
Job Summary
The role involves driving the development of analytical solutions to support key business objectives for Banking Operations & Analytics within the COO office.
Incumbents will work with large, complex datasets using tools like Python, PySpark, and SQL to build and validate modeling solutions across multiple portfolios.
The position requires ensuring model compliance with Citi standards through collaboration with model governance and fair lending teams.
Matching Summary
The role involves driving the development of analytical solutions to support key business objectives for Banking Operations & Analytics within the COO office.
Skills & Requirements
Must-have
5+ years data analytics experience
Python PySpark SQL programming
Machine learning and statistical modeling
Model governance and compliance
Generative AI and LLM proficiency
Nice-to-have
Business obsession and client-centric approach
Strong communication and influencing skills
Experience with Transformers and RAG architectures
Vector database knowledge
Thought leadership in financial analysis
Key Requirements
Bachelor's or Master's degree in relevant field
5+ years experience in data analytics roles
Proficiency in scikit-learn, TensorFlow, PyTorch libraries