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 team.
- Why this job: Make an impact in AI while developing your skills 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 employer: Citi
Citi is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its teams. With a hybrid working model, generous holiday allowance, and comprehensive benefits like private medical insurance, employees are supported in achieving a healthy work-life balance while advancing their careers in the cutting-edge field of AI and credit risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Python Engineer & VP-Level AI Risk Lead
✨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 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 that extra step to connect with us directly.
We think you need these skills to ace Senior Backend Python Engineer & VP-Level AI Risk Lead
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 technologies in past projects, so don’t hold back on the details!
Talk About AI Experience:If you’ve dabbled in generative AI, let us know! Share any relevant projects or experiences that showcase your understanding of AI tools and how they can be applied in a Credit Risk context.
Tailor Your Application:Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific aspects of the job description that excite you and how your skills align with them.
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 the role. Plus, it’s super easy!
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 Scenario-Based Questions
Expect questions that assess your problem-solving skills and technical expertise. Think of scenarios where you've had to architect backend systems or tackle challenges in generative AI. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Show Enthusiasm for Hybrid Work
Citi offers a hybrid working model, so express your excitement about this flexibility. Share examples of how you've successfully worked in hybrid environments before, highlighting your ability to collaborate effectively both in-person and remotely.
