
Pensions Risk Analyst
2 days ago
Meeting and communicating with the various stakeholders across locations on an ongoing basis to understand the risks associated with the business and making timely recommendations on risk appetite
Ensuing timely review of risk registers received from the various risk owners and risk managers - assist in the approval process, check efficacy of the rating & scales assigned from time to time and on a timely basis update the management of any new risks as well as any risks which must be demised
Designing early warning signals and Monitoring of portfolio to include initiating effective remediation solutions and watch listing
Reviewing the policies from time to time and suggesting any changes / amendments thereto as well as drafting new policies as may be required from risk management point of view
Working on credit modelling and other predictive models to facilitate decision making including internal rating models and scorecards and then monitoring the efficacy of these models
Introducing data analytics and business intelligence into day-to-day working to ensure the risk management function and business decisions taken thereon are derived from data Taking initiatives in and driving process improvements
Engage with external vendors such as FinTech's, risk consulting firms, research agencies, etc. to evaluate new products, services, projects, etc. available in the retail asset finance space
Monitoring key metrics like TAT, Rejections, Approvals, Deviations, etc. Evaluate the Expected Credit Loss (ECL) model under IndAS framework which involves evaluating framework for staging of assets, estimation of forward-looking PDs, computation of lifetime ECL, incorporation of macro-economic variables, etc
Proficiency in MS Excel
Proficiency in working on Data Analytical Tools such as R, Python and SAS
Basic Knowledge in SQL Language
Build and understand financial/risk management models and infer meaningful insights from the information obtained
Qualifications and Experience
~ Post Graduate Diploma in Business Management with Mathematics / Statistics / Information Management as a subject in the curriculum
~1-4 years of experience in the areas of Risk Management, Credit Modelling, Data Analytics, etc. (
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