Quantitative Fixed Income Engineer

Quantitative Fixed Income Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Deutsche Bank

At a Glance

  • Tasks: Develop analytics and solutions for trading using Python in a dynamic team.
  • Company: Join Deutsche Bank, a leading global financial services provider.
  • Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
  • Other info: Be part of a small agile team with great career growth potential.
  • Why this job: Make an impact in risk and profitability analytics while collaborating with experts.
  • Qualifications: A quantitative background in Computer Science or Engineering is essential.

The predicted salary is between 60000 - 80000 £ per year.

Deutsche Bank is seeking a motivated Quantitative Developer in London, responsible for developing analytics and solutions for trading. You'll join a small agile team focusing on risk and profitability analytics using Python, and collaborating with quants and infrastructure teams.

The position offers hybrid working, a competitive salary, and various benefits including 30 days holiday and private healthcare.

Ideal candidates will have a quantitative background in fields like Computer Science or Engineering.

Quantitative Fixed Income Engineer employer: Deutsche Bank

Deutsche Bank is an excellent employer for those seeking a dynamic and rewarding career in finance, particularly in the vibrant city of London. With a strong emphasis on employee growth, the company offers extensive benefits such as 30 days of holiday and private healthcare, alongside a collaborative work culture that encourages innovation and teamwork within agile teams. This role not only provides competitive remuneration but also the opportunity to work at the forefront of trading analytics, making it an ideal choice for motivated individuals looking to make a significant impact.

Deutsche Bank

Contact Details:

Deutsche Bank Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Fixed Income Engineer

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We think you need these skills to ace Quantitative Fixed Income Engineer

Quantitative Analysis
Python
Risk Analytics
Profitability Analytics
Agile Methodologies
Collaboration Skills
Computer Science Knowledge

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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How to prepare for a job interview at Deutsche Bank

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Get Comfortable with Python and R

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