Quant jobs / Deutsche Bank
Core Quantitative Strategic Analytics Developer
A developer role in the Core Strats team of Group Strategic Analytics, working on the shared analytics platform written mainly in C++ and Python. The work underpins valuation, risk and P&L for many trading desks.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build shared valuation, risk, P&L and calibration infrastructure used across asset classes
- Improve the C++/Python interface and the developer libraries other strat teams use
- Find and remove performance bottlenecks in platform code
- Simplify and refactor older components
- Gather requirements from strats, quants and traders
What they ask for
Required
- Object-oriented development with C++ and Python
- Owning complex processes
- Troubleshooting in a large engineering setting
- Linux and Windows with CI/CD tooling
- Low-latency and performance focus
- Clear communication
- Education
- Not stated
- Experience
- Solid software engineering experience (VP level); finance background not stated as required
- Languages and tools
- Markets
- multi-asset
How to prepare
- Build a C++ library exposed to Python with pybind11 and benchmark it
- Learn profiling tools and write a before/after optimisation case study
- Understand how a pricing and risk engine calibrates models and caches market data
- Set up a CI pipeline with tests for a mixed-language project
What to study
- Modern C++ for Quantitative Finance
- Python for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Professional Quant Practice
Apply
Read the full posting on Deutsche Bank’s site before applying: requirements, location and pay can change after we check them.
View the posting on Deutsche Bank’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Deutsche Bank and doesn’t handle applications.