At a Glance
- Tasks: Design and implement scalable backend systems for advanced AI tools in finance.
- Company: Join Citi, a global financial institution with a mission to empower growth.
- Benefits: Enjoy competitive salary, generous holidays, private medical insurance, and hybrid working.
- Other info: Dynamic environment with opportunities for learning and professional growth.
- Why this job: Make a real impact in AI development while advancing your career in finance.
- Qualifications: Expertise in Python, FastAPI, and experience in software design and architecture.
The predicted salary is between 80000 - 100000 € per year.
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.
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.
What You’ll Do
- 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
This role provides a unique opportunity to significantly contribute to our organization’s strategic direction through innovative AI product development within a dynamic financial environment. You will gain in‑depth knowledge of advanced financial services operations, working on critical deliverables integral to cutting‑edge AI projects. This will enable you to develop valuable new skills, contribute to an advanced AI ecosystem, and accelerate your career in a leading global financial institution.
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.
Benefits
- Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
- A discretionary 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.
Senior Backend Python Engineer -AI Platform, Vice President employer: Citi
Citi London is an exceptional employer that prioritises employee well-being and professional growth within a dynamic financial environment. With a commitment to innovation in AI product development, employees benefit from a supportive work culture, competitive salaries, generous holiday allowances, and extensive learning resources, all while enjoying the flexibility of a hybrid working model. Join us to be part of a global institution that values diversity and empowers you to thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Python Engineer -AI Platform, Vice President
✨Tip Number 1
Network like a pro! Reach out to current employees at Citi or in the tech community. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the technical interview by brushing up on your Python and FastAPI skills. Practice coding challenges and be ready to discuss your past projects, especially those involving AI and backend systems.
✨Tip Number 3
Showcase your passion for AI and software development during interviews. Share your thoughts on industry trends and how you can contribute to Citi's innovative projects. It’s all about demonstrating your enthusiasm!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Citi.
We think you need these skills to ace Senior Backend Python Engineer -AI Platform, Vice President
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your proficiency in Python and FastAPI in your application. We want to see how you've used these skills in real projects, so don’t hold back on the details!
Keep It Clean and Clear:When writing your application, focus on clarity and conciseness. We appreciate clean, maintainable code, and that applies to your written communication too. Avoid jargon unless it’s necessary!
Demonstrate Your Experience:Share specific examples of your past work, especially those involving software design principles and architectural patterns. We love seeing how you’ve tackled challenges and contributed to team success.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with Citi!
How to prepare for a job interview at Citi
✨Master the Python Fundamentals
Make sure you brush up on your core Python skills before the interview. Be ready to discuss Python fundamentals and demonstrate your understanding of software design principles. Practising coding challenges can help you articulate your thought process during technical questions.
✨Showcase Your FastAPI Expertise
Since proficiency in FastAPI is a must, prepare to discuss your experience with this framework. Bring examples of projects where you've implemented FastAPI, focusing on how it helped you build scalable backend systems. This will show that you not only know the theory but have practical experience too.
✨Understand Generative AI Concepts
Even if it's a bonus, having knowledge about Generative AI and its frameworks can set you apart. Familiarise yourself with the latest trends and applications in this area, and be prepared to discuss how they could apply to the role. This shows your enthusiasm for the field and your commitment to staying updated.
✨Prepare for System Design Questions
Expect questions around system architecture and design patterns. Think about past experiences where you contributed to the architecture of software solutions. Be ready to explain your decisions and how they impacted reliability and scalability, as this will demonstrate your ability to think critically about complex systems.
