Integrated Financial Crime - Machine Learning Engineer

Job Description
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 operationalise 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.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us at Barclays as an Integrated Financial Crime Machine Learning Engineer. 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 in Glasgow.