Deutsche Bank

Financial Services

QuantitativeDeveloper

£70–95k ~AI est. London, England, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Quantitative Developer at Deutsche Bank. Skills: Quantitative development, Python analytics, Fixed Income, Rates, Credit, Repo. Drive development in Python. Drive application infrastructure development”

Industry & Context.

Financial Services
Problems you'll solve

Critically assessing business requirements

What They're Looking For.

Must Have

Quantitative Degree, Computer science degree, Engineering degree, Physics degree, Economics degree, Degree with quantitative aspects, Degree with computing/coding aspects, Python expertise, Database familiarity, Pandas familiarity, Q/KDB familiarity, Shell scripting experience, Unix/Linux environment experience, SDLC tools experience, Collaborative environment experience

Nice to Have

Front office investment banking experience, Technical roles experience, Basic Shell scripting experience, Experience with data onboarding, Experience with data cleaning, Experience with data curation, Experience with data analysis, Experience with data presentation, Experience with Git, Experience with Bitbucket, Experience with JIRA

What You'll Do.

Drive development in Python

Drive application infrastructure development

Drive tooling development

Deliver business functional changes

Deliver engineering functional changes

Develop analytics systems

Support analytics systems

Provide live production support

Assess business requirements

Implement flow analysis MIS

Support trading decisions

How You'll Work.

Team & Collaboration

Quant strategists partnership; Agile environment; Quants; Strats; Infrastructure teams

Process & Methodology

Agile

Full 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

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