Quantitative Analytics Data Engineer – Vice President

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.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.

At Barclays, we don’t just adapt to the future – we shape it. Embark on a transformative journey as Quantitative Analytics Data Engineer – Vice President, where you'll spearhead the evolution of our Risk function. You will be responsible for supporting the development and management of models. Contribute to the development of enhanced infrastructure and analytics within QA WCR & CIB. Provide end user support for model use. You’ll need to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-wide Risk Management Framework and internal Barclays Policies and Policy Standards. You’ll need to ensure the provision of robust data for modelling purpose. You’ll need to provide data support for the development of new credit risk models, contributing to the development through approval and ddocument processes to required standards. Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management. To maintain open dialogue with modelers and validation teams on model developments and reviews and address data queries from user community 

To be successful as a Quantitative Analytics Data Engineer – Vice President, you should have experience with: 

• Work experience in an analytical/reporting function. 
• Experience of data analytics and data development (provision of data – extract, transform and load) 
• Understanding of Credit Risk models. 
• Working experience with large volumes of data in financial services domain.
• Degree in a highly numerate applied discipline such as Physical Sciences, Engineering, Operation Research, Mathematics etc. 
• SQL and numerical programming ability using Python and/or R is a must.
• Working experience with large volume of data sets with multiple sources.
• Stakeholder management experience is a must for this role for effective communication with internal and external to understand & articulate data requirements, issues and ensure a clear understanding of usage and limitations. 

Some highly valued skills include: 

• Familiarity and previous experience with the Latex document preparation system.
• Working experience with C++, C# or other programming languages.
• Working knowledge with Spark.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. 

The location of the role is Mumbai, IN.