Quantitative Developer
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Quantitative Developer
Location
London, 21 Moorfields
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
## Job Description:
Job Title: Quantitative Developer
Location: London
Corporate Title: Associate
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.
You will join the Global Quantitative Fixed Income Engineering team which builds applications that deliver quantitatively led pricing and trading solutions for the Rates, Credit and Repo businesses. Our team develops software using modern development practices to create high quality systems that can be iterated on rapidly and safely.
The team works together with the Credit Electronic Trading business and is a small agile team delivering risk, profit and loss (PNL), flow and client quantitative python analytics solutions using self-developed python framework. The business is fully committed to technology as a key differentiator of performance and the partnership with quant strategists is seen as crucial to the future success of the desk.
You will be a motivated self-starter and all-rounder with an aim to grow as a professional with a working understanding of credit markets and the associated credit modelling mathematics, as well as being able to build production quality software applications and reports to tight timescales using appropriate technologies.
You will design, implement and deliver such improvements working together with quants, strats and infrastructure teams in an agile environment to achieve those goals.
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
- Drive ongoing development in Python, associated application infrastructure, and tooling, acting as a Subject Matter Expert for the quant and engineering team.
- Take full responsibility for delivering both business and engineering-driven functional changes to the platform, including KDB deployment, and monitoring.
- Develop, support, and provide live production support for analytics and research systems, critically assessing business requirements for optimal solutions.
- Implement flow analysis management information systems (MIS) and reporting (e.g., volumes, market shares, hit rates, client profitability).
- Support trading decisions through trade analytics and strategy backtesting
Your skills and experience
- Previous front office investment banking experience in technical roles is preferred but not essential
- Hands-on expertise in engineering solutions using Python (familiarity with database, pandas and Q/KDB is welcome)
- Basic Shell scripting experience in a Unix/Linux environment is preferable
- Quantitative Degree (of any length) incl. computer science / engineering / physics / economics or any degree with quantitative aspects or / and computing / coding.)
- Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation is preferable
- Experience working with standard Software Development Lifecycle (SDLC) tools in a collaborative environment (git/bitbucket/JIRA etc.) is welcome
How we’ll support you
- Training and development to help you excel in your career
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
- We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)
About us
[Deutsche Bank](https://www.db.com/company/company.htm) is the leading German bank with strong European roots and a global network. Click [here](https://www.db.com/what-we-do/) to see what we do.
Deutsche Bank in the UK is proud to be named in [The Times Top 50 Employers for Gender Equality](https://www.bitc.org.uk/the-times-top-50-employers-for-gender-equality/) and has been awarded a Gold Award from Stonewall and named in their [Top 100 Employers](https://www.stonewall.org.uk/top-100-employers).
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.
We strive for a [culture](https://careers.db.com/this-is-db/index?language_id=1) in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Key Responsibilities
- Drive ongoing development in Python, application infrastructure, and tooling.
- Deliver business and engineering-driven functional changes to the platform, including KDB deployment and monitoring.
- Develop, support, and provide live production support for analytics and research systems.
- Implement flow analysis management information systems and reporting.
- Support trading decisions through trade analytics and strategy backtesting.
Requirements
- Quantitative Degree (e.g.
- computer science
- engineering
- physics
- economics) or degree with quantitative aspects
Skills Required
PythonSoftware Development Lifecycle (SDLC)Self-starterCollaborationProblem solvingDatabase managementPandasQ/KDBShell scriptingUnix/LinuxData cleaningData curationGitBitbucketJIRA
Benefits
- Hybrid Working
- Competitive salary
- Non-contributory pension
- 30 days holiday plus bank holidays
- Option to purchase additional holiday days
- Life Assurance
- Private Healthcare
- Retail Discounts
- Bike4Work scheme
- Gym benefits
- CSR programme support
- 2 days volunteering leave per year
- Training and development
- Flexible benefits
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