Credit Algo Trading Quant - London, United Kingdom - Barclays

Barclays
Barclays
Verified Company
London, United Kingdom

1 week ago

Tom O´Connor

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Tom O´Connor

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Description

Credit Algo Trading Quant

London


As a Barclays Credit Algo Trading Quant, you will be a part of SM&D (Statistical Modelling & Development) team, where you will be designing and developing mathematical algorithms to underpin our market analytics, execution strategies and models, pricing, hedging, pre/post trade analytics.

Ultimately, the purpose is to create best in class the business logic and models underlying electronic liquidity offering to clients and the associated analytics.


Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us.

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.


Working Flexibly


We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in.

Please discuss the detail of the working pattern options for the role with the hiring manager.


What will you be doing?:


  • Designing statistical models for trading algos in the Credit space, with a focus on bond products
  • Implementing, testing, documenting, and productionisation of the models
  • Proactively identifying problems and issues and resolving them
  • Provisioning of required support in timely manner and to high quality standard
  • Participating in team peer reviews of the codes
  • Participating in team knowledge sharing, hiring, and presentations
  • Interacting with internal teams across Product, Trading, Technology, Sales, Compliance and Risk

What we're looking for:


  • Master's or preferably PhD degree in a technical discipline, such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar
  • Logical thinking, problem solving and mathematical skills
  • Excellent programming skills (JAVA, Python, Q/KdB or JavaScript/React)
  • Solid understanding of econometrics, statistics and machine learning tools

Skills that will help you in

the role:


  • Prior experience as a quant researcher/trader with algorithms in a sell side environment
  • Flexible to work different hours to collaborate with other regional teams as required
  • Ability to multitask and work in a dynamic environment individually and as part of a team

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.

LI-Hybrid
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