About the role
Our client is a leading British bank.
Join us at our client 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.
In this role you will contribute across the full model lifecycle, from design and development through to deployment and optimisation. You will deliver new analytical solutions aligned to strategic priorities, while also maintaining and improving the robustness, accuracy and performance of existing models.
To be successful in this role, you will have experience in the following areas:
• 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.
The following would be highly valued but are not essential:
• Background in financial services or regulated environments.
• ...
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