At a Glance
- Tasks: Develop risk and PNL systems while supporting trading operations with pre-trade analytics.
- Company: Leading financial institution in London with a collaborative culture.
- Benefits: Competitive salary and various benefits to support your career.
- Why this job: Join a dynamic team and leverage machine learning in finance.
- Qualifications: Over 2 years of quantitative experience and data handling skills.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial institution in London seeks a Credit Quantitative Strategist to join their team. The role involves developing risk and PNL systems, supporting trading operations, and creating pre-trade analytics.
Ideal candidates will have:
- Over 2 years of quantitative experience in investment banking
- Expertise in data handling
- Familiarity with machine learning techniques
The position promotes a collaborative environment, and the firm offers a competitive salary and various benefits.
London Credit Quant Strategist — ML-Driven Analytics employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London Credit Quant Strategist — ML-Driven Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and quant space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative projects, especially those involving machine learning. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges or case studies. We all know how crucial they are in the finance world.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace London Credit Quant Strategist — ML-Driven Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative experience and any relevant projects you've worked on. We want to see how your skills align with the role of a Credit Quantitative Strategist, so don’t hold back!
Showcase Your Data Skills: Since this role involves data handling and machine learning, include specific examples of how you've used these skills in past roles. We love seeing real-world applications of your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our collaborative environment. Let us know what excites you about working with us!
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 position. Plus, it’s super easy!
How to prepare for a job interview at Deutsche Bank
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and be ready to discuss your experience in investment banking. Be prepared to explain how you've developed risk and PNL systems in the past, as well as any specific projects where you've used machine learning techniques.
✨Showcase Your Data Handling Skills
Since data handling is key for this role, come armed with examples of how you've managed and analysed large datasets. Discuss the tools and methodologies you've used, and be ready to dive into the specifics of your analytical processes.
✨Collaborative Mindset
This position promotes a collaborative environment, so highlight your teamwork experiences. Share stories about how you've worked with others to achieve common goals, especially in high-pressure situations like trading operations.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the firm's approach to ML-driven analytics and how they support their trading operations. This shows your genuine interest in the role and helps you assess if it's the right fit for you.