AVP - Data Scientist (Quantitative Analytics)

Shape the Future of Financial Crime Prevention – Use your analytical strengths to build solutions that protect customers and strengthen our controls. In your role as AVP - Data Scientist (Quantitative Analytics) you will help us design and deliver machine learning solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers. Working within an established model development team and in close partnership with business stakeholders and engineers, you will focus on developing robust, intuitive machine learning models supported by scalable, production ready code and comprehensive monitoring and controls. You will contribute across the full model lifecycle—from initial concept and data exploration through to supporting deployment—while maintaining the rigorous documentation and governance standards expected in a regulated environment. This role is well suited to professionals with validated experience in model development who want to apply advanced analytical techniques to real world fraud and financial crime complexities and make a meaningful impact with us.

To be successful in your role as AVP – Data Scientist (Quantitative Analytics), you should have:

• Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries.
• Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark).
• Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking.
  
  
  

Other Highly Valued Skills Include

• Responsibility for of model lifecycle processes, from inception through development, deployment, and on-going maintenance.
• Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning.
• Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams.
• An understanding of model risk management, governance, controls, and documentation within the financial services' regulatory environment.
  
  
  

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

This role is located in Wilmington, DE.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.
  
  
  

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.