Not specified, likely hybrid or onsite given the nature of the role.
Python programming experience
Machine learning model development
Fraud detection or aml expertise
Barclays is seeking an Assistant Vice President - Data Scientist (Quantitative Analytics) in Wilmington, DE, to design and implement machine learning models that enhance fraud detection and financial crime prevention. The ideal candidate will have experience in model development within financial services, expertise in Python, and a strong understanding of regulatory environments
Job Summary
This role focuses on designing and delivering machine learning solutions to detect financial crime and prevent fraud for Barclays customers.
The successful candidate will lead the full model lifecycle from initial concept through deployment while maintaining rigorous governance standards.
As an AVP, you are expected to advise decision-making, influence policy development, and potentially lead a team performing complex analytical tasks.
Matching Summary
Match Score: 85
Barclays is seeking an Assistant Vice President - Data Scientist (Quantitative Analytics) in Wilmington, DE, to design and implement machine learning models that enhance fraud detection and financial crime prevention. The ideal candidate will have experience in model development within financial services, expertise in Python, and a strong understanding of regulatory environments.
Skills & Requirements
Must-have
Python programming experience
Machine learning model development
Fraud detection or AML expertise
Statistical modeling in finance
Model lifecycle management
Nice-to-have
Cloud platform experience AWS Azure GCP
MLOps and DevOps fundamentals
Distributed data frameworks like Spark
Leadership and team coaching skills
Experience with Databricks
Key Requirements
Direct experience in financial services or regulated industries