Liquid Financing Data/AI Engineer – VP

Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations

• To contribute 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..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.

Embark on a transformative journey as a Liquid Financing Data/AI Engineer – VP. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. In this role, you will leverage advanced data engineering and AI capabilities to enhance strategic insights, optimize financing platforms, and drive innovation across our Liquid Financing business. Your knowledge will help accelerate Barclays’ digital transformation agenda, delivering scalable, data-driven solutions that create value for clients and the organization. This is a unique opportunity to work with advanced technologies, collaborate with world class global talent, and play a key role in shaping the future of financial services while advancing your professional growth.

To be successful as a Liquid Financing Data/AI Engineer – VP, you should have:

• Considerable engineering background in Python and/or Java, with proficiency in both preferred, and the ability to demonstrate deep expertise in one language with working competence in the other

• Extensive experience with AWS, including services such as ECS, Lambda, S3, API Gateway, Step Functions, and IAM

• Understanding of Kubernetes for deploying and operating containerized services in production environments

• Excellent communication skills, with the ability to articulate technical trade-offs clearly to both engineering peers and non-technical stakeholders

• Working knowledge of AI/ML concepts and experience integrating AI capabilities such as LLM APIs, embeddings, and retrieval patterns into software applications

Other highly valued skills include:

• Domain knowledge in Liquid Financing, including any, Prime Brokerage, Fixed Income Financing, Stock Borrow & Loan (SBL), or Custody business lines

• Experience working directly with Quants and Strats — understanding their workflows, data requirements, and how technology supports quantitative and structuring functions

• Familiarity with financial instruments, trade lifecycle, or risk systems in a front-office technology context

• Experience with event-driven architectures, message streaming (e.g. Kafka/MSK), or real-time data processing pipelines

• Exposure to DevSecOps practices and financial services regulatory or compliance technology requirements

You may be assessed on the key critical skills relevant for success in 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 our New York, NY office.

Minimum Salary: $170,000
Maximum Salary: $230,000

The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.