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Deutsche Bank

Fixed Income Quantitative Engineer

London
Posted about 1 month ago
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Fixed Income Quantitative Engineer

Job Title: Quantitative Strategist 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

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Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

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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 is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their 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 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.

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Skills

Python
Quantitative Analysis
Software Development
Data Analysis
Unix
Linux
KDB
Pandas
Shell Scripting
Collaboration
Agile Methodologies
Trade Analytics
Reporting
Data Curation
Problem Solving

Location

London, England, United Kingdom

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