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Senior Backend Python Engineer -AI Platform, Vice President - Citi

External
eFinancialCareers logoEfinancialcareers · London, UK
Full-timeOn-site4w ago
AgileCI/CDDocumentationFastAPIGenerative AIKubernetes
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Responsibilities

  • You will design, implement, build and deploy backend systems to automate the analysis of data, code and documentation, and structure the extracted knowledge in a Credit Risk Domain aware knowledge graph.
  • What we'll need from you
  • Proficiency in core Python and FastAPI framework.
  • Profound understanding of software design principles, architectural patterns, and an unwavering commitment to writing clean, maintainable, and production-grade code.
  • Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration.
  • Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems.
  • Experience with containerized deployment (Kubernetes, OpenShift etc).
  • Experience with DevOps, CI/CD and agile methodology.
  • Experience in Generative AI, LLM frameworks and/or ML is a bonus.
  • What we can offer you
  • We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
  • Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
  • ------------------------------------------------------
  • Job Family Group:
  • Technology ------------------------------------------------------
  • Job Family:
  • Applications Development ------------------------------------------------------
  • Time Type:
  • Full time ------------------------------------------------------
  • Most Relevant Skills
  • Please see the requirements listed above.------------------------------------------------------
  • Other Relevant Skills
  • For complementary skills

Additional Information

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Are you looking for a career move that will put you at the heart of a global financial institution? We are seeking an exceptionally skilled Senior Python Software Engineer to architect and implement robust, scalable backend systems that power our advanced AI tools and services. This hands-on individual contributor role demands expert knowledge of Python fundamentals, a profound understanding of software design principles, architectural patterns, and an unwavering commitment to writing clean, maintainable, and production-grade code that minimizes technical debt. Proficiency in FastAPI is a must. Prior experience in Generative AI development and its associated frameworks is a bonus. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview The Credit Risk Technology team is at the forefront of leveraging data and artificial intelligence to transform critical risk functions within Citi. We develop and maintain complex software solutions that empower Citi's Risk organization to manage counterparty credit risk. Our systems integrate vast datasets, including trades, collateral, market data, and counterparty information to compute essential metrics such as Pre-Settlement Risk (PSE), Exposure at Default (EAD), and Risk Weighted Assets (RWA), alongside optimizing margin allocation, collateral haircuts, liquidity, and concentration levels.


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