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Integrated Financial Crime - Model Developer

Job in St James's, Greater London, SW1A 2DX, England, UK
Listing for: Hackajob Ltd
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst, Data Scientist
Job Description & How to Apply Below
Location: St James's

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. 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. Exposure to financial crime domains such as fraud, AML or sanctions.

Experience with Spark or PySpark. Familiarity with AWS cloud services and data platforms. You will be assessed on key capabilities relevant to the role, including risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology skills, alongside job specific technical expertise. This role is based at our Canary Wharf office in London. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise.

Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to ope rationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.

Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.

Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others.

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