Quant jobs / Deutsche Bank

Core Quantitative Strategic Analytics Engineer

A performance-focused engineering role in the Core Strats team of Group Strategic Analytics. It tunes the C++/Python analytics platform and its data and Linux layers; applicants from outside finance are welcome.

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.

Optimise C++ and Python platform code for speed and memory
Tune MySQL, SQLite and Redis data layers behind the analytics
Configure and monitor Linux services for availability and latency
Profile and fix CPU, memory and I/O bottlenecks
Maintain shared valuation, risk, P&L and calibration frameworks used by asset-class teams

What they ask for

Required

Strong C++ and Python on Linux
Redis design and tuning
Linux services and performance debugging
Profiling and diagnostic tools
Software architecture for shared libraries
Clear communication to stakeholders

Education: Not stated
Experience: Strong professional engineering experience; finance background not required
Languages and tools: C++
Python
SQL
Redis
MySQL
SQLite
Markets: multi-asset

How to prepare

Profile a C++ program with perf or similar and document the speed-ups you make
Tune a Redis cache and measure eviction and persistence trade-offs
Learn Linux performance tools for network and I/O diagnosis
Build a small shared Python/C++ library with API documentation and tests

What to study

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.