At a Glance
- Tasks: Architect and implement backend systems for advanced AI tools in the Credit Risk Domain.
- Company: Join Citi, a leading global bank with a focus on innovation.
- Benefits: Enjoy a hybrid working model, generous holiday allowance, and private medical insurance.
- Other info: Great opportunity for career growth in a supportive and innovative culture.
- Why this job: Make an impact in AI while working with cutting-edge technology in a dynamic environment.
- Qualifications: Strong Python and FastAPI skills; experience in generative AI is a bonus.
The predicted salary is between 80000 - 100000 € per year.
Citi is seeking a Senior Python Software Engineer to architect and implement backend systems that power advanced AI tools. This role will involve automating data analysis and structuring knowledge in a Credit Risk Domain knowledge graph.
Candidates should possess strong skills in Python and FastAPI, and experience in generative AI is a plus.
The position offers a hybrid working model and numerous benefits, including a generous holiday allowance and private medical insurance.
Senior Backend Python Engineer & VP-Level AI Risk Lead in London employer: Citi
Citi is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its employees. With a strong focus on professional development, team members have access to extensive growth opportunities and resources, all while enjoying a hybrid working model that promotes work-life balance. The generous benefits package, including a substantial holiday allowance and private medical insurance, further enhances the rewarding experience of working in the cutting-edge field of AI within the Credit Risk Domain.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Python Engineer & VP-Level AI Risk Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Citi or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially any related to AI or backend systems. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of FastAPI and generative AI. We want to see you shine, so practice common technical questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Backend Python Engineer & VP-Level AI Risk Lead in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python and FastAPI in your application. We want to see how you've used these skills in past projects, especially if you've worked on anything related to AI or data analysis.
Tailor Your Application:Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific experiences that relate to backend systems and AI tools, as this will show us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status directly. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Citi
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with FastAPI. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems. Practising coding challenges can also help you feel more confident.
✨Understand AI and Credit Risk
Since the role involves advanced AI tools in a Credit Risk context, do some research on how AI is applied in this field. Familiarise yourself with knowledge graphs and be prepared to discuss how you would approach automating data analysis in this domain.
✨Prepare for Behavioural Questions
Citi will likely want to know how you work in a team and handle challenges. Think of examples from your past experiences that showcase your problem-solving skills and ability to collaborate effectively. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. You might want to inquire about their current projects involving AI or how they envision the future of credit risk management. It’s a great way to demonstrate your enthusiasm and curiosity.
