Sm&d Electronic Trading Quant

Join us as an "SM&D Electronic Trading Quant" at Barclays. As a quant researcher, the person would be responsible for 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. This would involve the full chain from requirements gathering, design, implementation, productionisation, optimisation, monitoring and support. The Statistical Modelling and Development team remit lies within the trading activities in the Markets division, in particular electronic trading activities. It is responsible for: - Algorithms and model-based business logic used in electronic trading in Markets. - Data Science applied to trading and sales activities - Underlying technology used in electronic trading and Data Science The primary purpose of electronic trading is to provide liquidity to clients on agency and principal basis, where either the connection to the client is electronic or provision of that liquidity requires electronic trading. This requires the analysis, research and development of proprietary algorithms and trading business logic using data mining and statistical techniques. The business logic includes information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies and smart order routing. To be successful as an "SM&D Electronic Trading Quant", you should have experience with: Basic/ Essential Qualifications: - Graduation or master’s degree from reputed 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++). - Excellent verbal and written communication skills. Desirable skillsets/ good to have: - Strong understanding of econometrics, statistics and machine learning tools - Prior experience as a quant researcher/trader with algorithms in a sell side environment - Ability to multitask and work in a dynamic environment individually and as part of a team - Logical thinking, problem-solving and mathematical skills is a must. This role will be based out of Noida. **Purpose of the role** **Accountabilities** - Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets. - Working closely with sales teams to identify clients' needs and develop customised solutions. - In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics. - Provide front office infrastructure support though ownership and maintenance of analytical libraries. - Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment. **Analyst Expectations** - To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. - Requires in-depth technical knowledge and experience in their assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. - OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. - Will have an impact on the work of related teams within the area. - Partner with other functions and business areas. - Takes responsibility for end results of a team’s operational processing and activities. - Escalate breaches of policies / procedure appropriately. - Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. - Advise and influence decision making within own area of expertise. - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. - Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. - Demonstrate understanding of how areas coordinate and cont