Fraud Data Analyst Lead

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. 

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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 Fraud Technical Data Analyst Lead, where you'll play a vital role at the heart of fraud prevention and detection. As part of our collaborative Fraud Technology Data Analytics team, you'll harness large datasets to design and deliver impactful, data-driven solutions that protect both customers and the organisation from financial crime.
 

You'll collaborate across fraud, data technology, and business teams, using your technical expertise and strategic insight to create practical solutions, support organisational strategy, and clearly communicate findings to senior management. With the key focus to reduce risk, build trust, and drive meaningful change.
 

To be successful as a Fraud Technical Data Analyst Lead, you should have experience with:

• Turning business needs into scalable technical solutions with senior stakeholders.
• Using SAS and SQL for data exploration, reporting, and processing large datasets.
• Experience with different data management techniques including ETL, CDC, and data warehousing tooling.
• Leading a team of analysts to deliver quality outcomes across multiple programs of effort.

Some other highly valued skills may include:

• Experience in fraud prevention, detection or investigation in financial services.
• Certifications in SAS, AWS, or Python, and knowledge of ETL and data warehousing.
• Data visualisation using Tableau or Power BI, and working across time zones with tools like Spark and Databricks.
   

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

This role will be based in Northampton.