SM&D Electronic Trading Quant

Join us as an "SM&D Electronic Trading Quant" at Barclays, where you will be responsible for designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post-trade analytics, and models. Your main objective will be to create cutting-edge business logic and models to enhance electronic liquidity offerings to clients along with associated analytics. This role will encompass the entire process from requirements gathering to design, implementation, productionisation, optimization, monitoring, and support. The Statistical Modelling and Development team focuses on trading activities within the Markets division, particularly electronic trading. Your responsibilities will include developing algorithms and model-based business logic for electronic trading, applying Data Science to trading and sales activities, and utilizing underlying technology for electronic trading and Data Science applications. Electronic trading aims to provide liquidity to clients on agency and principal basis, involving electronic connections or trading. This requires the development of proprietary algorithms and trading business logic through data mining and statistical techniques. Your tasks will revolve around information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies, and smart order routing. To excel in this role, you should possess a graduation or masters degree from a reputable institution in a quantitative, mathematical, or scientific discipline. Hands-on experience with algorithms or eTrading business logic, strong programming skills (Python, Q/KDB & at least one of JAVA or C++), and excellent verbal and written communication skills are essential. Additionally, a strong understanding of econometrics, statistics, and machine learning tools, prior experience as a quant researcher/trader in a sell-side environment, ability to multitask and work in a dynamic environment both independently and collaboratively, logical thinking, problem-solving skills, and mathematical aptitude are desirable. Your primary purpose will be to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain. You will apply quantitative analysis, mathematical modeling, and technology to optimize trading and investment opportunities. Your key accountabilities will include developing and implementing quantitative models and strategies, collaborating with sales teams to address clients" needs, conducting in-depth research, data analysis, and statistical modeling to derive insights, providing front office infrastructure support, and sharing expertise on quantitative methodologies and technological advancements. You will be expected to consistently deliver high-quality work, demonstrate in-depth technical knowledge and experience, understand underlying principles and concepts in your area of expertise, lead and supervise a team if applicable, and contribute to the work of related teams within the area. Your role will involve partnering with other functions and business areas, managing risk, ensuring compliance with regulations and codes of conduct, and enhancing controls related to your work. All colleagues are required to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,