Liquid Financing Data/AI Engineer – VP
Listed on 2026-08-29
-
Software Development
AI Engineer (Applied/Software)
Liquid Financing Data/AI Engineer – VP
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 Dev Sec Ops 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.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).