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Job Location | Pune |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | Sales / BD,Legal Support Services |
EmploymentType | Full-time |
* Duties and Responsibilities - Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses Design, Develop, monitor and improve statistical and machine learning models for Credit Risk Drive strategic analytical projects for Risk Analytics for Credit decisioning Develop Probability of Default (PD), Loss Given Default (LGD), Exposure At Default (EAD) models Calculation of Expected Credit Loss (ECL) components as per IND-AS guidelines and final ECL in a frequency defined by the organization. Take end to end ownership of all the modeling exercise for Risk. Answer questions from external and internal auditors and independent validation and review. Monitor, maintain and improve all scorecards, policies and processes across portfolios and ensure its effectiveness Support any adhoc deep dive data analysis on portfolio matrices Track and or improve key performance indicators, losses and portfolio quality. Provide deep dive analysis on portfolio matrices. Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required Support in managing and improving various offer strategies, control offer generation and distribution through data analysis Work closely with Product, Sales and Risk teams to support business growth and drive new initiatives Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably Manage or mentor a set of Analysts in day to day analytical projects. Manage AOP and other projects and deliver as against the timelines defined by the team. , * Relevant prior experience in Data Analytics in building Statistical models, Segmentation Analysis and Deep dive analysis In depth experience of building models using machine learning algorithms Good data management, communication and interpersonal skills Exposure to analytical tools (eg.SAS, SQL, Decision Tree and Modeling techniques). Effective verbal and written communication skills Ability to work independently and towards deadlines MBA / Post Graduate with 4+ years experience in financial services
Keyskills :
team managementcustomer relationsdeliverydocumentationautomationkey performance indicatorsdata flowcredit riskdata analysiscredit policyearly warningdata analytics