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Join us at Barclays as an Integrated Financial Crime Model Developer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work within the Integrated Financial Crime portfolio, a large scale programme bringing together over 20 initiatives to create a more holistic, risk based and automated financial crime capability. The aim is to strengthen controls, improve effectiveness across all lines of defence, and better equip colleagues and customers to prevent and identify financial crime.
Job Responsibility:
Design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank
Contribute across the full model lifecycle, from design and development through to deployment and optimisation
Deliver new analytical solutions aligned to strategic priorities
Maintain and improve the robustness, accuracy and performance of existing models
Requirements:
Strong experience in machine learning and advanced analytics
Advanced Python skills for data processing and model development
Proven experience working with Databricks
Solid software engineering practices, including version control, testing and deployment
Nice to have:
Background in financial services or regulated environments
Exposure to financial crime domains such as fraud, AML or sanctions
Experience with Spark or PySpark
Familiarity with AWS cloud services and data platforms