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- 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 during the interview process. We all know how crucial those are in this field.
✨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 to connect directly with us.
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 skills in data handling and machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Credit Quant Strategist position and how your experience can contribute to our team. Keep it concise but impactful!
Showcase Your Collaborative Spirit: Since we value collaboration, mention any past experiences where you worked in a team setting. Highlight how you contributed to group projects or supported trading operations, as this will resonate well with us.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
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 machine learning techniques you've applied.
✨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 specific tools or programming languages you've used, and be ready to tackle any technical questions that may come your way.
✨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 for Practical Scenarios
Expect to face practical scenarios during the interview. Think through potential pre-trade analytics challenges and how you would approach them. Practising these scenarios can help you articulate your thought process clearly and confidently.
