Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Vice President 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.
Join us as an, " IB Quant Analyst" at Barclays. Investment Banking Analytics Team. This team works in close partnership with our product and coverage businesses to design, develop and deliver valuable data and analytic content. We are accountable for the continued development and evolution of the analytic capabilities to support the growing reliance on data and creating model driven outcomes.
To be a successful "IB Quant Analyst" you will be required to work directly with developers and business consumers to find the most meaningful ways of presenting complex combinations of the qualitative and quantitative data to drive commercial outcomes.
You may be assessed on the key critical skills relevant for success in role, such as Demonstrate proficiency in the architecture, development and maintenance of AI (Artificial Intelligence)/LLM (Large Language model) modules and components and their integration into Investment Banking technology platforms.
Basic/ Essential Qualifications:
Experience working directly with developers and business consumers
Presenting complex combinations of the qualitative and quantitative data to drive commercial outcomes
Experience in designing machine learning pipelines
Strong experience in Python programming, especially in the designing, development and support of AI/ML applications.
Bachelors Degree is similar field.
Experience in training, testing and deploying ML models live.
Relevant years of experience monetizing models and signals in a highly technical and analytic environment (Algorithmic Trading, Systematic Trading, Alpha Research, Financial Engineering)
Desirable Skills :
Candidate must be able to work as part of a global team – collaborating with US, UK and India.
Exposure to Neural Networks and other deep learning architectures
Experience with CI/CD tools like Jenkins or TeamCity.
Knowledge of version control systems (Git).
MSc. / PhD in a relevant field (Mathematics, Statistics, Physics, Computer Science)
An eagerness to iterate and deliver incrementally in partnership with business SME’s
Curiosity and an interest in learning about Investment Banking.
This role is based out of Noida.

Barclays is a British universal bank. Our vision is to be the UK-centred leader in global finance. We are a diversified bank with comprehensive UK consumer, corporate and wealth and private banking franchises, a leading investment bank and a strong, specialist US consumer bank. Through these five divisions, we are working together for a better financial future for our customers, clients and communities.
With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide.
Barclays is a trading name of Barclays Bank PLC and its subsidiaries. Barclays Bank PLC is registered in England and is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority. Registered in England. Registered No. 1026167. Registered office: 1 Churchill Place, London E14 5HP.