At a Glance
- Tasks: Deliver risk and analytics for bond trading using ML/NLP techniques.
- Company: Deutsche Bank AG, a leading global investment bank in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative environment with structured software development lifecycle.
- Why this job: Join a fast-paced trading floor and make an impact with cutting-edge technology.
- Qualifications: 3+ years in front office quant roles and strong coding skills required.
The predicted salary is between 80000 - 100000 £ per year.
Deutsche Bank AG in London seeks a Quantitative Credit Strategist to deliver risk, P&L, and pre-trade analytics for bond trading and sales.
You will work on flow analytics on a fast-paced trading floor, applying ML/NLP techniques to large data sets and building production-grade software.
Ideal candidates have 3+ years in front office quant roles, strong coding skills across KDB+/Q, Python, C++, and Java Script, plus an advanced degree.
A collaborative, structured SDLC environment is important.
London Front-Office Quant Credit Strategist employer: Deutsche Bank AG
Deutsche Bank is an exceptional employer, offering a dynamic work culture in Birmingham that prioritises employee well-being and professional growth. With a hybrid working model, competitive salary, and comprehensive benefits including private healthcare and generous holiday allowances, employees are empowered to thrive both personally and professionally while contributing to the vital mission of combating financial crime.
StudySmarter Expert Advice🤫
We think this is how you could land London Front-Office Quant Credit Strategist
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We think you need these skills to ace London Front-Office Quant Credit Strategist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Deutsche Bank AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deutsche Bank AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Deutsche Bank AG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
