Senior Business Analyst
The Senior Business Analyst is responsible for performing a gap analysis of the regulatory guidance for implementing new IFRS 9 provisioning rules and subsequently defining a multi-year deployment strategy incorporating data, modelling, calculation and disclosure requirements. It is ESSENTIAL that the candidate has experience of IFRS 9 implementation within a Financial Institution.
Main Duties:
Performing a detailed gap analysis of the IFRS 9 standards and regulatory guidance for implementation.
Defining interpretation of the guidance to senior stakeholders where required and helping consolidate feedback to the regulator via industry associations.
Working closely with the credit risk modelling team on segmentation rules to define model scope and credit cycle benchmarks across retail and wholesale portfolios that will be used to calculate IFRS 9 provisions.
Define data attributes, associated controls and supporting operating models to run calculations and generate regulatory disclosures, working closely with Finance technical accounting teams.
Develop business requirements documentation and excel model prototypes for testing and training purposes.
Working with senior Risk, Finance and IT subject matter experts to define a target state business architecture that provides alignment across provision and stress testing processes. This analysis will take into account data feeds, model calculation engines, significant deterioration tests and reporting requirements.
Essential experience:
Previous business analysis experience implementing credit risk models, including knowledge of regulation, lending practices, data models, requirements definition, and process design.
Strong analytical and problem solving skills, e.g. an ability to understand complex credit risk modelling concepts, document the mathematical structure of models and build excel prototypes for quantitative testing.
Detailed awareness of banking book credit industry products across wholesale and retail markets.
Proven track record of successful delivery in a statistical analysis role of similar complexity and level, preferably within a credit risk function.
An ability to communicate complex methodology issues to senior management and model users.
Able to work to tight deadlines.
2:1 degree or equivalent in a numerate discipline (Economics, Maths, Statistics, Sciences, Engineering, Operational Research, Physics) is essential.
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