AVP - MEx Job in Chennai at Barclays

Barclays is hiring for the role of AVP - MEx!

Responsibilities of the Candidate:

• Work on deliverables across numerous teams (e.g. Quantitative Analytics, Front Office, Risk, Treasury, etc) and work streams (e.g. model development, documentation, results governance, etc) ensuring timelines are met.
• Assist in the projection model development process and participate in the discussions/assessment of model methodology and documentation, including engagement with senior stakeholders.
• Model execution ownership and re-development across a broad range of revenue and Balance Sheet models.
• Work closely with the business, CFO BP, Product Control and the modelling team to develop, assess, and challenge the assumptions and approach used in forecasting.
• Coordinate the data aggregation within various infrastructure areas within the bank (i.e. Front Office, Regulatory Control, Product Control, Risk, and Treasury) to complete the forecasting analysis and reviews as well as the cross-function hand-offs, during the execution of the models.
• Assist in the development of a stress-testing data quality process and monitoring framework.
• Develop robust internal controls including policies and procedures; change control; comprehensive documentation; model validation; and review by IA.
• Leverage knowledge of financial statement analysis and technical framework to make sound decisions regarding forecasting/overlays, governance, controls, and model framework. 

Requirements:

• Strong written and verbal communication skills 
• Sound understanding of financial statement analysis
• Experience in building and maintenance of financial models on MS Excel, and the ability to crunch numbers from large datasets and produce actionable insights/analytics
• Robust analytical and problem-solving skills
• Ability to work with multiple teams to drive business outcomes
• Knowledge of investment banking products and markets
• Post-graduate degree or equivalent in economics/accounting/finance/business administration
• Role requires significant analytical and technical skills and evaluative judgement in order to determine appropriate model methodologies but also to determine the right balance between model sophistication and practical application/understanding by stakeholders
• Ability to interpret regulatory guidance in order to build models that will be used by the organization to drive stress-testing deliverables