AVP - Compliance and AI/ML

Barclays; Wilmington (DE); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Barclays in Wilmington, DE seeks an AVP in Compliance & AI/ML to independently review and investigate models supporting key business areas. You will perform data analysis, benchmarking, and challenger modelling across compliance models, delivering high-quality validation reports.

Key duties include validating models for regulatory alignment, assessing data quality, governance, and controls, and collaborating with owners, developers and stakeholders to strengthen model risk management practices.

Qualifications

• Experience in model validation and model risk management.
• Understanding of regulatory requirements relating to model risk.
• Experience with statistical, scenario-based and rules-based models.
• Experience developing or validating machine learning models using large datasets.

Responsibilities

• Validate and approve models for specified usages and periodic reviews.
• Assess conceptual soundness, performance, and documentation of risks and weaknesses.
• Evaluate compensating controls to mitigate model risk.
• Document validation findings and recommendations in clear reports.
• Assess coherence of model interactions and large model framework results.
• Design framework to measure and quantify model risk and uncertainty.

Tools

Python

R

SAS

Spark

MLlib

Hadoop

AWS

Job description

Join Barclays as an AVP - Compliance & AI/ML, where you will provide independent review and investigate of models supporting key areas of the business. You will perform technical and data analysis, benchmarking, and challenger modelling across Compliance models, including Financial Crime, Transaction Monitoring, Anti-Money Laundering, and Market/Trade Surveillance. You will assess model performance, data quality, methodology, governance, controls, limitations, and assumptions while ensuring models meet internal standards and regulatory expectations. Working closely with model owners, developers, and senior stakeholders, you will deliver high-quality validation reports and contribute to the continued development of model risk management practices.

To be successful as an AVP - Compliance & AI/ML, you should have:

• Experience in model validation and model risk management, including knowledge of regulatory requirements relating to model risk
• Understanding of quantitative techniques used to develop and validate Compliance models, particularly Financial Crime, Transaction Monitoring, AML and Market/Trade Surveillance
• Experience with statistical, scenario-based and rules-based models, including predictive modelling techniques
• Experience developing or validating machine learning models using large datasets

Other highly valued skills include:

• Knowledge of analytical tools and technologies such as Python, R, SAS, Spark, MLlib, Hadoop and/or AWS
• Understanding of financial crime typologies, particularly transaction monitoring and market/trade surveillance
• Ability to perform technical analysis, benchmarking and challenger model development, identifying model weaknesses, limitations and assumptions
• Analytical, stakeholder management and influencing skills, with the ability to effectively task model owners and developers when required

You may 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.

This role is located in Wilmington, DE.

Purpose of the role

To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews.

Accountabilities

• Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models.
• Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses.
• Assessment of any compensating controls used to mitigate Model risk.
• Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement.
• Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning.
• Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty.

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
• 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.