Applied AI Engineer, Markets Operations – Associate
On-siteLondon, England, United Kingdom
Job Summary
Design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes using Python, RESTful APIs, and data pipelines. Collaborate with AI specialists and operations stakeholders to translate workflow pain points into durable solutions while evaluating new infrastructure technologies. Document designs and tradeoffs to support maintainability, ensuring scalability, reliability, and security of AI solutions in production environments. Learn Markets Operations processes to develop practical integrations with banking systems, applying Infrastructure as Code practices within CI/CD pipelines. Contribute to a culture of innovation and engineering excellence within JPMorganChase's Markets Operations team.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience
- Strong Python programming skills
- Design, develop, and integrate RESTful APIs, such as with FastAPI
- Build and support ETL and data pipeline engineering workflows
- Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines
- Design and integrate databases and data models
- Apply monitoring practices and understand controls and compliance concepts in production environments
- Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences
- Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work
Desired Qualifications
- Apply AI and machine learning concepts with a strong interest in applied AI productization
- Experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology
- Familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management
- Use AWS and tools such as MLflow
- Develop front-end capabilities with React or modern front-end development
- Apply graph database modeling concepts
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