Join us as a 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 You may be assessed on the key critical skills relevant for success in role such as experience with SM D Electronic Trading Quant as well as job-specific skillsets To be successful as a 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 Solid 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 To provide quantitative and analytical expertise to support trading strategies risk management and decision-making within the investment banking domain applying quantitative analysis mathematical modelling and technology to optimise trading and investment opportunities 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 Assistant Vice President Expectations To advise and influence decision making contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions business divisions Lead a team performing complex tasks using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives appraisal of performance relative to objectives and determination of reward outcomes 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 will lead collaborative assignments and guide team members through structured assignments identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and or projects identifying a combination of cross functional methodologies or practices to meet required outcomes Consult on complex issues providing advice to People Leaders to support the resolution of escalated issues Identify ways to mitigate risk and developing new policies procedures in support of the control and governance agenda Take ownership for managing risk and strengthening controls in relation to the work done Perform work that is closely related to that of other areas which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Collaborate with other areas of work for business aligned support areas to keep up to speed with business activity and the business strategy Engage in complex analysis of data from multiple sources of information internal and external sources such as procedures and practises in other areas teams companies etc to solve problems creatively and effectively Communicate complex information Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience Influence or convince stakeholders to achieve outcomes All colleagues will be expected to demonstrate the Barclays Values of Respect Integrity Service Excellence and Stewardship - our moral compass helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset - to Empower Challenge and Drive - the operating manual for how we behave