Credit Algo Trading Quant

Job Description

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 worlds 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 creatingfinancial and digital solutions that the world now takes for granted. Working FlexiblyWere committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognizes and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity forall our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers and clients needs. Whether you have family commitments or youre a carer, or whether you need studytime or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to businessneeds. 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 detailof 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 were looking for: Masters 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 workingIn 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 nonewith a real buzz being created around the offices within.