Risk Analyst

• 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 ü 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 ü Monitoring key metrics like TAT, Rejections, Approvals, Deviations, etc. which reflect the abnormal variance from benchmarks ü 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.

Skills

• Strong analytical and problem-solving skills
• Proficiency in MS Excel ü Proficiency in working on Data Analytical Tools such as R, Python and SAS 
• Basic Knowledge in SQL Language 
• Communication: Effectively interact with management and relevant employees 
• Analytical/Technical: Build and understand financial/risk management models and infer meaningful insights from the information obtained

Qualifications

Post Graduate Diploma in Business Management with Mathematics / Statistics / Information Management as a subject in the curriculum

Experience

0-3 years of experience in the areas of Risk Management, Credit Modelling, Data Analytics, etc. (preferred).