Quantitative Developer, Python - Fixed Income Analytics

Quantitative Developer, Python - Fixed Income Analytics

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Deutsche Bank AG

At a Glance

  • Tasks: Build Python-based pricing and trading analytics for Fixed Income.
  • Company: Join Deutsche Bank, a leading global financial services provider.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Agile team culture with a focus on scalable solutions.
  • Why this job: Make an impact in finance with innovative analytics and collaboration.
  • Qualifications: Proficiency in Python and experience in quantitative development.

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

Deutsche Bank AG in London seeks a Quantitative Developer to join the Global Quantitative Fixed Income Engineering team. You will build Python-based pricing and trading analytics for Rates, Credit and Repo, delivering scalable solutions within an agile environment and collaborating with quants, strats and infrastructure teams.

Responsibilities include:

  • Driving Python development
  • Enabling production support
  • Deploying analytics on KDB
  • Creating MIS and reporting to inform trading decisions
Deutsche Bank AG

Contact Details:

Deutsche Bank AG Recruitment Team

We think you need these skills to ace Quantitative Developer, Python - Fixed Income Analytics

Python Development
Fixed Income Analytics
Agile Methodologies
KDB Deployment
MIS Creation
Reporting Skills
Collaboration with Quants