Vice President Financial Crime Transaction Monitoring (TM) Control Owner

We are seeking a Vice President Financial Crime Transaction Monitoring (TM) Control Owner to shape the future of Banking at Barclays. This high-impact role sits at the intersection of financial crime risk, automated detection, and advanced model development.

Purpose of the role Design, develop, implement, and maintain statistical, mathematical, and machine learning models to support decision-making by analysing and solving complex problems.

Accountabilities

• Acquire and collect data from various sources, including internal databases, external datasets, and real-time feeds.
• Perform data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
• Design and implement data management strategies for model maintenance and future development.
• Design, develop, and implement statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
• Monitor model performance in real-time and identify potential issues or biases.
• Lead training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
• Evaluate and pilot emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.

Vice President Expectations

• Contribute to 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.
• Demonstrate leadership and accountability for managing risk and strengthening controls.
• Collaborate with other areas of work to provide business-aligned support.

Requirements

• Proven expertise in automated Transaction Monitoring systems, including model development, optimisation, and ongoing performance management.
• Advanced analytical capabilities with experience resolving model-related data integrity and data quality issues.
• In-depth knowledge of Transaction Monitoring frameworks, including the ability to provide effective oversight and ensure alignment with regulatory expectations.
• Exceptional stakeholder management skills, with the ability to influence and collaborate effectively at senior levels.

Desired Skills

• Coding proficiency (e.g., Python, SQL).
• Project management experience in financial crime or risk domains.
• Familiarity with machine learning or AI tools in TM or fraud detection.
• Recognised financial crime qualifications (e.g., ICA, ACAMS).
• Experience in engaging and managing regulatory functions.