High-Performance Quantitative Analytics Engineer (C++/Python)

Deutsche Bank AG; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Competitive salary

Non-contributory pension

30 days holiday plus bank holidays

Life Assurance

Private Healthcare

Retail Discounts

Bike4Work

Gym benefits

CSR volunteering leave

Job summary

Deutsche Bank AG in London is seeking a Core Quantitative Strategic Analytics Engineer to design, implement, and optimize core platform functionality in C++ and Python. The role focuses on high-performance data layers, memory management, and low-latency systems within the Kannon platform across Investment, Corporate, and Private Banking.

The position offers hybrid working, a competitive salary, and a comprehensive benefits package including pension, 30 days holiday, healthcare, and CSR

Qualifications

• Strong professional experience in an object-oriented programming language with deep technical proficiency in C++ and Python in a Linux environment.
• Designing and scaling Redis instances (caching strategies, memory eviction policies, and data persistence tuning).
• Deep familiarity with the Linux operating system, including configuring and optimizing system services, analyzing network/IO performance, and debugging system-level bottlenecks.
• Proven experience using profiling, debugging, and analysis tools to diagnose CPU, memory, and I/O latency issues.
• Good software architecture experience such as building shared libraries, frameworks, or platform components consumed by other developers.
• Strong interpersonal skills with the ability to explain complex technical optimizations and system requirements clearly to stakeholders and downstream teams.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Responsibilities

• Analyze, design, and develop core platform functionality in C++ and Python, with a rigorous focus on code efficiency, memory management, and execution speed.
• Design, optimize, and maintain high-performance data layers. This includes schema optimization, index tuning, and query analysis in MySQL and SQLite3, alongside leveraging Redis for low-latency caching and in-memory data structures.
• Configure, monitor, and optimize various Linux services and applications underpinning the platform to ensure high availability, minimal latency, and optimal resource utilization.
• Proactively identify and resolve performance bottlenecks across the entire application stack using profiling tools, refactoring legacy components, and simplifying complex systems.
• Build and maintain shared valuation, risk, P&L, marking, and calibration frameworks used cross-asset within the Kannon platform.
• Strengthen the core C++/Python interfaces, APIs, and shared libraries relied upon by downstream asset-class Strats teams.

Skills

C++

Python

Linux

Object-oriented programming

Profiling tools

Software architecture

Interpersonal communication

AI tools for productivity

Tools

Redis

MySQL

SQLite3

Linux services

Job description

Deutsche Bank AG in London is seeking a Core Quantitative Strategic Analytics Engineer to design, implement, and optimize core platform functionality in C++ and Python. The role focuses on high-performance data layers, memory management, and low-latency systems within the Kannon platform across Investment, Corporate, and Private Banking.

The position offers hybrid working, a competitive salary, and a comprehensive benefits package including pension, 30 days holiday, healthcare, and CSR