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Date live:
Jul. 17, 2025
Business Area:
Pan Markets
Area of Expertise:
Markets
Reference Code:
JR-0000062831
Contract:
Permanent
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Explore locationJoin 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
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
Analyst Expectations
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.