At a Glance
- Tasks: Develop and maintain applications for derivatives credit risk calculations.
- Company: Join Citi, a leading global bank with a focus on innovation.
- Benefits: Enjoy 27 days of annual leave, bonuses, and private medical care.
- Other info: Dynamic role with opportunities for professional growth in finance tech.
- Why this job: Collaborate with top teams and work on impactful financial technology.
- Qualifications: Strong Python skills and experience in software development on Windows and Linux.
The predicted salary is between 60000 - 80000 £ per year.
Citi is seeking a Counterparty Credit Risk Senior Application Developer in Greater London to develop and maintain applications for derivatives credit risk calculations. This role involves collaboration with Quant and Front Office teams and the integration of pricing models within the ACE application.
The ideal candidate should have a strong background in Python, experience in software development on both Windows and Linux, and excellent analytical skills.
Additional perks include:
- 27 days of annual leave
- Performance-related bonuses
- Private medical care
Senior Python Developer, Counterparty Credit Risk employer: Citi
Citi is an exceptional employer that fosters a collaborative work culture, particularly for the Senior Python Developer role in Greater London. With a strong emphasis on employee growth, you will have the opportunity to work alongside talented professionals in Quant and Front Office teams, while enjoying generous benefits such as 27 days of annual leave, performance-related bonuses, and private medical care, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer, Counterparty Credit Risk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Citi or similar firms. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your Python projects, make sure to share it. It’s a great way to demonstrate your coding chops beyond just words on a CV.
✨Tip Number 3
Prepare for the tech interview! Brush up on your Python knowledge and be ready to tackle coding challenges. Practising common algorithms and data structures can really help you shine during the technical rounds.
✨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 Python Developer, Counterparty Credit Risk
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it in past projects, especially in relation to credit risk calculations or similar areas.
Tailor Your Application:Don’t just send a generic CV and cover letter. We’re looking for candidates who can demonstrate their understanding of the role and how their skills align with our needs at Citi. Customise your application to reflect that!
Highlight Collaboration Experience:Since this role involves working closely with Quant and Front Office teams, we’d love to hear about your teamwork experiences. Share examples of how you’ve successfully collaborated on projects in the past.
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 before the interview. Be ready to discuss your previous projects and how you've used Python in real-world applications, especially in relation to credit risk calculations.
✨Understand the Business Context
Familiarise yourself with counterparty credit risk and how it impacts derivatives trading. This will help you engage in meaningful conversations with the Quant and Front Office teams during the interview.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking. You might be asked to solve a problem or analyse a scenario related to credit risk, so practice articulating your thought process clearly.
✨Be Ready for Technical Questions
Expect technical questions that cover both Windows and Linux environments. Brush up on your software development practices and be prepared to discuss how you integrate pricing models within applications like ACE.
