Portfolio Risk Analytics (SAS/Python/R, SQL) Bank/NBFC/ Fintech (PUNE)

Job Description

Leading Financial Company Hiring Portfolio Risk Analytics (SAS/Python/R, SQL) Bank/NBFC/ Fintech (PUNE) Interested please call MAHEK 9137263337 and drop CV at quotientconsultancy@gmail.com Job Purpose As a Portfolio Risk Analyst, you will play a critical role in assessing and monitoring credit risk of the loan portfolio. Your primary responsibility will be to analyze the companys loan portfolio, evaluate risk exposures and generate insights on portfolio risk. You will adopt a data driven approach, leveraging data analytics tools and statistical techniques to provide valuable insights on portfolio behaviour and present your findings effectively to the senior management to support informed decision-making and credit risk management. . Principal Accountabilities Loan Portfolio Analysis: Conduct periodic portfolio analysis including bounce & delinquency trends, generate and analyze portfolio cuts, perform static pool analysis etc. Risk Modeling and Reporting: Develop and maintain credit risk models, perform validation of existing risk models, generate reports summarizing risk trends, perform early delinquency and pre-delinquency analysis. Create and deploy customer segmentation models and risk ranking models. Data Analytics: Utilize data analytics tools (such as SQL or Python) to extract insights from raw data. Identify patterns, trends, and anomalies within the portfolio. Apply statistical techniques to quantify risk. Present the insights using data visualization tools. Market Insights: Stay up to date with developments in the financial services sector including the regulatory landscape. Keep track of the technological advances being made in areas such as AI and develop an understanding of various use cases of such technologies for the companys business. Cross-functional Collaboration: Collaborate with various departments, including Finance, IT and Data Analytics from time to time to gain better understanding of data and underlying processes. Ad-hoc assignments: Ad-hoc assignments related to credit risk and portfolio analytics from time to time. Desired Profile Minimum Qualification – Master’s degree in data science, IT, Finance, MBA Strong expertise in SAS/Python/R, SQL Strong understanding of statistical modelling and data visualization tools Minimum 5 years of experience in retail lending space in credit risk role at a Bank / Large NBFC / Fintech / Reputed Consultancy Firm; experience in portfolio risk analytics and system automation. Effective communication and presentation skills, stakeholder management capabilities, inclination towards automation