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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.
Job Responsibility:
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment
Requirements:
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)
Nice to have:
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