Risk Modelling Lead Analyst

2 weeks ago


Bengaluru, Karnataka, India NatWest Group Full time

Join us as a Risk Modelling Lead Analyst

You'll be developing and maintaining compliant and fit for purpose models used in the bank's risk frameworkWith your skills and expertise, you'll be able to provide clear and well-presented analysisJoin a collaborative and supportive team environment, where you'll be valued for sharing your ideas and learning from othersWe're offering this role at associate levelWhat you'll do In this key role, you'll design, develop and maintain effective and compliant statistical risk and decision support models and related analytics. We'll look to you to deliver analytics and performance MI relating to risk models and for the development of new and enhanced approaches, in support of improved business and customer outcomes. Your responsibilities will include: Providing business and other stakeholders with advice and support on model use, model impact and model implementationSupporting regulatory engagement and internal governance in relation to risk models and model frameworksProviding well documented models that meet the bank's standards and requirementsSupporting the delivery of all milestones to agreed dates, budget and quality standardsThe skills you'll need You'll already have experience of working in a modelling function or some related quantitative function, part of which will have been in a retail or wholesale banking environment. We'll expect you to be qualified to degree level in a numerate discipline with experience in data driven analysis and statistical or mathematical modelling. You'll also need: Experience of risk systems, methodologies and processes in a retail or wholesale banking environmentA background in using programming languages, ideally on large datasets in a mainframe or server environment, and approaches to apply in situations of scarce dataAn understanding of statistical techniques, and how they are applied appropriately for the benefit of the bank and our customers Candidate should have knowledge and worked on the IRB models or IFRS9 models or both (preferable) along with PYTHON or SAS or SQL, preferably in AWS environment Knowledge of wholesale products and processes will be an advantage and should be from numeric background

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