About Quantitative AnalyticsThe Global Quantitative Analytics group (QA) is responsible for the research, development and implementation of quantitative models across various asset classes (Interest Rates, Equity, Foreign Exchange, Commodities, Emerging Markets, Credit and Derivatives Counterparty Risk Management).
There are approximately 300 members of the Quantitative Analytics group globally, located in London, Paris, Hong Kong, Prague, and New York.
The infrastructure team within the Quantitative Analytics department is responsible for development and maintenance of the tooling and infrastructure used for efficient development and smooth delivery of the quantitative analytics models to production.
This includes all aspects of software development life cycle for more than twenty infrastructure components - technical analysis, design, implementation, testing, deployment, maintenance and support. Your Role
Development and maintenance of tooling in the QA department
Providing SW development support to Quants
Maintenance of the used infrastructure
Ensuring processes are followed (includes tuning the processes)
Interaction with Quants support, close cooperation, delivering QA products
Interaction with IT teams (QA clients) providing our products
Interaction with ProdOps teams ensuring our infrastructure works
Providing support to QA management when required
Bachelor degree in computer science from a top university or a master degree in another technical discipline (physics, engineering, maths) with relevant experience
Good C# or Python knowledge and proven work experience
Windows system administration and general networking knowledge
MSSQL Server 2008+ and relational DB concepts knowledge
Experience with DevOps development approach
Good understanding of continuous integration, testing, dependency management
Fluent and articulate English, written and spoken
Linux system administration, multi-platform (Windows, Linux) development
Perl / Python / Powershell scripting
Systems management and monitoring tooling (e.g., Nagios)
Data warehousing / ETL
Basic understanding of C / C++, LVVM, Clang
Proactive, able to work independently and within a team
Methodical aptitude for problem solving
Keen and able to learn quickly new technologies
Able to adapt to change and work in a fast changing environment
Able to explain technical concepts to non-technical users
Uses initiative to spot potential problems and finds innovative ways to solve them
Process oriented, with emphasize on documentation
About Us Barclays is a transatlantic consumer, corporate and investment bank offering products and services across personal, corporate and investment banking, credit cards and wealth management, with a strong presence in our two home markets of the UK and the US.
Our goal is to become the bank of choice by providing superior services to customers and clients and supporting our stakeholders via a commercially successful business that generates long-term sustainable returns.