QA Scenarios Model Developer 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

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• 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 "Quantitative Analytics Scenarios Model Developer" at Barclays, where you will work on implementation and support of Barclays’ Scenarios Models.

The core responsibilities of the role will be to support model design, development, implementation and on-boarding of Scenarios models into Python based IT infrastructure.  This role has extensive interactions with technology partners, internal stakeholders in Finance and Risk, and engages with internal/ external Audit, Review teams and regulators.

About Quantitative Analytics

Quantitative Analytics (QA) is a global organisation of highly specialized quantitative modellers and developers. QA is led by Olaf Springer, who is a member of Risk Exco. QA is responsible for developing, testing, implementing and supporting quantitative models for valuation and risk management of traded assets, regulatory and economic capital, impairments, fraud detection, asset-liability management, operational risk, net revenue and balance sheet forecasting, and stress testing across Barclays. 

About QA Scenarios
The QA Scenarios team is responsible for development of models to support Barclays’ Scenarios expansion processes. At Barclays, Scenario expansions play a key role in driving planning, stress testing and impairment processes helping to manage the balance sheet of the firm.

Existing use cases and new requirements such as like CECL and Climate Risk cover different legal entities and business areas of the firm. The team utilizes its expertise in statistical analysis of large volumes of historical data to develop plausible forecasts for a wide class of national and sectoral level macroeconomic variables and for market variables across multiple asset classes, for short-term, medium-term and long-term horizons

To be successful as a ""Quantitative Analytics Scenarios Model Developer" . you should have experience with :

This role will be based out of Noida

Key Accountabilities

• Implementation of Scenarios models into the Model Execution Framework for Stress Testing and Impairment
• Technical analysis, support and testing of components/models within the current Model Execution Framework (MEF), as relevant for Scenarios use-case
• Develop & deliver reusable tools and processes to support improved controls, automation and sensitivity analysis capabilities for Scenario models
• Responsible for ensuring that governance and control requirements are met
• Engage with regulators as well as internal/ external Audit and Review teams
• Responsible for internal scenario expansion model updating and refinement
• Responsible for documenting models and procedures to ensure replication of results

Stakeholder Management and Leadership

• Engagement with technology partners and stakeholders in the Global Scenario team and across the bank on matters relating to model for scenario expansions used for planning, stress testing and impairment calculations, including model owners / users, model control officers, model developers and control and technology partners ensure delivery of models in line with requirements and within control frameworks

Decision-making and Problem Solving

The candidate must be able to work in an organised manner with a clear focus on the quality and timeliness of delivery. The role requires excellent modelling and analytical skills to develop quantitative models, and to support integration of new models into Model Execution Framework and IT’s systems.

Risk and Control Objective

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.

Basic/ Essential Qualifications:

• Bachelor’s degree in Physical Sciences, Engineering, Mathematics or Economics from a top University
• Strong Python and R programming skills
• Experience in Quant modelling techniques and knowledge of models in one or more asset classes
• Experience in delivering models and tools to support business management

Desirable skillsets/ good to have:

• Master’s Degree or PhD in a numerical field
• Expertise in Python programming and Data Science and experience with model deployment
• Strong statistical/econometric modelling background
• Model developer for Stress Testing and/or Impairment across Risk, Treasury or Finance
• Excellent communication skills both verbal and written.