VP, Liquid Financing AI & Data Engineer

Barclays

New York (NY)

On-site

USD 170,000 - 230,000

Full time

17 hours ago
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Job summary

Barclays is seeking a Liquid Financing Data/AI Engineer – VP in New York to design and enhance data-driven financing platforms using Python/Java, AWS, and AI capabilities. The role emphasizes collaboration with quants, risk, and frontline teams to accelerate digital transformation and deliver scalable solutions.

You will work with modern data engineering, real-time processing, and secure software practices while aligning with Barclays' strategic technology initiatives and regulatory requirements.

Qualifications

  • Strong engineering background in Python and/or Java, with depth in at least one language and working competence in the other.
  • Extensive AWS experience (ECS, Lambda, S3, API Gateway, Step Functions, IAM).
  • Understanding of Kubernetes for deploying containerized services in production.
  • Excellent communication to explain trade-offs to engineers and non-technical stakeholders.
  • Knowledge of AI/ML concepts and integrating AI capabilities (LLMs, embeddings) into apps.

Responsibilities

  • Develop and deliver scalable software using relevant languages, frameworks, and tools.
  • Collaborate with product, design, and other engineers to define requirements and ensure alignment with business objectives.
  • Participate in code reviews and promote code quality and knowledge sharing.
  • Stay updated on tech trends and contribute to technology communities.
  • Adhere to secure coding practices and implement unit testing.

Skills

Python/Java proficiency
Cloud/AWS experience
AI/ML concepts
Communication skills

Tools

AWS: ECS Lambda S3 API Gateway Step Functions IAM
Kubernetes
Kafka/MSK
DevSecOps practices

Job description

Barclays is seeking a Liquid Financing Data/AI Engineer – VP in New York to design and enhance data-driven financing platforms using Python/Java, AWS, and AI capabilities. The role emphasizes collaboration with quants, risk, and frontline teams to accelerate digital transformation and deliver scalable solutions.

You will work with modern data engineering, real-time processing, and secure software practices while aligning with Barclays' strategic technology initiatives and regulatory requirements.

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