# Core Quantitative Strategic Analytics Engineer at Deutsche Bank

Deutsche Bank is hiring a Core Quantitative Strategic Analytics Engineer in London, United Kingdom. Level rates it Little AI ●○○○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/8f4ccf32-5e46-4257-868a-445bb65acb61?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. Remote (London, 21 Moorfields).

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 1 (score 10 out of 100)
- Location: Remote (London, 21 Moorfields)
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/8f4ccf32-5e46-4257-868a-445bb65acb61?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=core-quantitative-strategic-analytics-engineer-at-deutsche-bank-fe0133

## Prepare for this job

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## Description

Job Description: Job Title Core Quantitative Strategic Analytics Engineer Location London Corporate Title Associate Group Strategic Analytics (GSA) is part of the Group Chief Operating Office (COO), acting as the bridge between the business divisions and infrastructure functions to deliver efficiency, control, and transformational goals across the organization. You will join the GSA team, which is responsible for delivering quantitative solutions across Investment Banking, Corporate Banking, and Private Banking. You will drive enhancements, extensions, and systemic optimizations of our strategic Kannon platform (primarily developed in C++ and Python). Working cross-business, you will design, build, and tune core functionality ranging from trade pricing and risk valuation to automated controls and high-performance backend infrastructure. We welcome applications from strong, performance-minded engineers across all industries, including those from outside the financial sector. What we’ll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days’ holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year Your key 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. Your skills and experience Strong professional experience in an object-oriented lprogramming anguage 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 and resolve 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

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Source: https://jobsbylevel.com/jobs/core-quantitative-strategic-analytics-engineer-at-deutsche-bank-fe0133

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