Description
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.
You will be responsible for ensuring robust TM controls across multiple business lines, driving the evolution of automated monitoring capabilities, and overseeing model performance, data quality, and optimisation.
Key Responsibilities:
- Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
- Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
- Design and implementation of data management strategies for model maintenance and future development.
- Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
- Monitoring model performance in real-time and identify any potential issues or biases.
- Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
- Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.
As a Vice President, you will be expected to:
- 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 in relation to the work of your team.
- 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.
Highly valued 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.
- Recognized financial crime qualifications (e.g., ICA, ACAMS).
You will be assessed on key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills.