Internal Fraud Analytics

Purpose of the role

To enable data driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.

Designing and building data pipelines to automate data movement and processing.

Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.

Through data driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.

Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad hoc stakeholder needs.

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.

For a leadership role, People Leaders must demonstrate the four LEAD behaviours: Listen, Energise, Align, and Develop.

For an individual contributor, guide team members, lead collaborative assignments, identify the need for inclusion of other specialisations, and identify new directions for assignments.

Consult on complex issues; provide advice to People Leaders to support resolution of escalated issues.

Identify ways to mitigate risk and develop new policies/procedures to support the control and governance agenda.

Take ownership for managing risk and strengthening controls in relation to the work done.

Engage in complex analysis of data from multiple sources of information, internal and external, 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 audience.

Influence or convince stakeholders to achieve outcomes.

All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship and the Barclays Mindset to Empower, Challenge and Drive.

Qualifications

• Experience in fraud analytics, internal fraud, financial crime analytics, or investigations within a banking or financial services environment.
• Advanced SQL skills and experience analysing large and complex datasets.
• Experience with Python, SAS.
• Ability to communicate analytical findings clearly to a technical or non technical audience.
• Ability to work to strict deadlines.
• Experience producing high level reporting and presenting findings to senior management.
• Excellent problem solving, investigative and critical thinking skills.

Highly valued skills include the ability to work to strict deadlines, produce high level reporting, and present findings to senior management.

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

Location

This role is based in Northampton.