Core Quant Analytics Engineer - High-Performance C++/Python

Deutsche Bank AG; Greater London; Hybrid; GBP 110,000 - 160,000; Full time

Benefits offered by this job

Hybrid working

Private healthcare

Life Assurance

30 days holiday

Pension

Job summary

Deutsche Bank AG in London is seeking a Core Quantitative Strategic Analytics Engineer to help evolve the Kannon platform with C++ and Python. You will design, implement, and optimize core tooling, data layers, and interfaces used by cross-asset Strats teams.

The role emphasizes memory management, execution speed, and scalable architectures, with hybrid working and a strong focus on performance engineering within a leading global bank.

Qualifications

• Strong object-oriented programming experience in C++ and Python in a Linux environment.
• Deep knowledge of profiling, debugging, and analysis tools to diagnose CPU, memory, and I/O latency issues.
• Experience designing and scaling Redis caching and data structures for low latency.

Responsibilities

• Analyze, design, and develop core platform functionality in C++ and Python, focusing on efficiency and memory management.
• Design, optimize, and maintain high-performance data layers with schema optimization and indexing.
• Configure and monitor Linux services to ensure high availability and low latency.
• Build and maintain valuation, risk, P&L, and calibration frameworks used cross-asset within the Kannon platform.

Skills

C++

Python

Linux

Redis

MySQL

SQLite

Profiling

Debugging

APIs

Shared libraries

Tools

Redis

MySQL

SQLite

Linux utilities

Job description

Deutsche Bank AG in London is seeking a Core Quantitative Strategic Analytics Engineer to help evolve the Kannon platform with C++ and Python. You will design, implement, and optimize core tooling, data layers, and interfaces used by cross-asset Strats teams.

The role emphasizes memory management, execution speed, and scalable architectures, with hybrid working and a strong focus on performance engineering within a leading global bank.