Deutsche Bank
Financial Services
QuantitativeDeveloper
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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