Machine Learning Engineer jobs in United Kingdom

Purpose of the role

To enable effective data governance, risk management, and compliance within the bank, acting as a liaison between business units and the Data & Records Management (DRM) function, translating business needs into actionable strategies and ensuring efficient implementation of DRM.

• Partnership with the local business unit to ensure successful implementation of data & records governance frameworks as appropriate to the needs of the business unit.
• Provision of guidance and support on records classification, retention, storage, retrieval and disposal to business units.
• Monitoring local data quality and records metrics and identify areas for improvement.
• Identification of opportunities for data improvement and optimisation.
• Partnership with the relevant business unit to support their data priorities and ensure appropriate decisions related to data & records are embedded in their BAU decision making and change programs.

• 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 as a Data Governance Analyst - Data Controls at Barclays, where you'll be responsible for overseeing data governance activities with a strong focus on data controls. In this role, you'll identify and understand data-related issues across various systems and processes, carrying out in-depth analysis to uncover trends and root causes. You'll summarise complex findings in clear, non-technical language that can be easily understood by a broad range of audiences. Working closely with teams across the business, you'll engage with stakeholders at all levels to ensure data standards are maintained and continuously enhanced, helping to improve data quality, consistency, and compliance throughout the organisation.

To be successful as a Data Governance Analyst - Data Controls, you should have:

• Data Management & Governance knowledge.
• Business data quality analysis and presentation of insights.
• Stakeholder communication & collaboration.
• Ability to convey technical concepts in clear and accessible terms across various stakeholder groups.

Some other highly valued skills may include:

• Technical proficiency in SQL and data cataloguing.
• Understanding of business processes and customer journeys within retail banking.
• Experience in change management and delivery.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This is a hybrid role and can be based in either Northampton or Knutsford.