IB Research Quant Analyst - AVP

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

• 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.

Assistant Vice President Expectations

• 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.

Join us as a "IB Quant Research professional" at Barclays. Investment Banking Analytics 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. The successful candidate 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.

To be successful as a "IB Quant Research professional", you should have experience with:

Basic/ Essential Qualifications:

* to work 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

Desirable skillsets/ good to have:

* Python Development

* Experience in training, testing and deploying ML models live

* Experience in Financial Engineering

• Computer Science, Engineering/ Math Background
• 3 to 6 years of experience monetising models and signals in a highly technical and analytic environment (Algorithmic Trading, Systematic Trading, Alpha Research, Financial Engineering)
• Previous experience in systematizing businesses. This is a deeply technical role for a hands-on practitioner
• Advanced Python development along with experience with python ecosystems.
• Demonstrable capabilities in at least one low level language (C++, Java)
• Strong knowledge of statistics, machine learning, artificial intelligence and data analysis.
• Excellent abstraction and software design skills (object oriented, services architecture, back-testing)
• An eagerness to iterate and deliver incrementally in partnership with business SME’s
• Curiosity and an interest in learning about Investment Banking.

This role will be based out of Noida.