Your career starts on Magnet.me
Create a profile and receive smart job recommendations based on your liked jobs.
As a Barclays Systematic Trading Developer, within the equities team, you’ll be responsible for working alongside traders, developers, and other teams to deliver the KDB data platform that underpins our algorithmic trading solutions. The role requires full ownership of the design, development, deployment, and support of the KDB data platform used for our systematic trading algorithms. You will assist the rest of the team with the development of quantitative analytics and visualisation tools.
Barclays is one of the world's largest and most respected financial institutions, established in 1690, with a legacy of success, quality, and innovation. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive and creating financial and digital solutions that the world now takes for granted.
At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, ‘anchor’, days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.
What will you be doing?
Building and improving the KDB data platform that feeds and is fed by our systematic trading algorithms
Making technical decisions that require good understanding of the data used in derivatives trading and market microstructure
Working closely and communicating globally with traders and developers
Developing and maintaining high quality reusable code in KDB and other languages
Implementing new ideas and improvements to the business
Adhering to Barclays Policies and Standards and Financial Regulations appropriate to the role
Ensuring tasks are carried out in accordance to risk and control guidelines at all times
What we’re looking for:
Extensive knowledge of Volatility Trading and Market Microstructure in Cash Equities and Equities Derivatives
Proven experience with low latency C++ programming and high frequency algorithimic trading solutions for derivatives trading desks
Mastery of best practices in software development lifecycle, and operational risk management
Skills that will help you in the role:
Msc or Phd in Mathematics, Computer Science, Statistics or other quantitative domain
Experience of volatility pricing and risk and of data analysis using Python, R or Julia
Experience of machine learning and optimization theory
Proficiency in KDB+ programming
Where will you be working?
In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as: a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links. With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.
Barclays moves, lends, invests and protects money for 48 million customers and clients worldwide.