Srinivasa Gopalan
About Srinivasa Gopalan
Srinivasa Gopalan is the Director of Data Management at Ocwen Financial Solutions in Bangalore, India, where he has worked since 2011. He has extensive experience in the BFSI domain, particularly in credit card and mortgage portfolio analysis.
Work at Ocwen Financial
Srinivasa Gopalan has been with Ocwen Financial Solutions since 2004, holding various positions over the years. He currently serves as the Director of Data Management, a role he has held since 2019. Prior to this, he worked as a Manager in Data Stewardship for 13 years, starting in 2011. His experience at Ocwen also includes a tenure as Senior Manager of Data Governance and Stewardship since 2013, and as Assistant Manager in Mortgage Analytics from 2006 to 2010. His roles have primarily focused on data management and stewardship within the organization.
Education and Expertise
Srinivasa Gopalan has a diverse educational background. He earned a Post Graduate Diploma in Business Administration (PGDBA) in Marketing from Symbiosis Institute of Management Studies from 2007 to 2010. He also completed the GNIIT program at the National Institute of Information Technology from 1997 to 1999. Additionally, he holds a Bachelor of Commerce (B.Com) degree from Sindhi College, completed in 1999. His professional development includes achieving a Six Sigma Green Belt from Simpli Learn in 2013.
Background in BFSI Domain
Srinivasa Gopalan has extensive experience in the Banking, Financial Services, and Insurance (BFSI) sector, particularly in credit card and mortgage domains. His expertise includes portfolio analysis and understanding revenue drivers. Prior to his current roles, he worked at Standard Chartered Bank as an Officer for five years and at Altisource Business Solutions as an Assistant Manager in Data Management and Reporting for 11 months. His background provides a strong foundation for his current responsibilities in data management.
Technical Skills and Proficiencies
Srinivasa Gopalan possesses strong analytical reasoning and problem-solving skills. He is proficient in data mining using Base SAS and Oracle PL/SQL. His technical expertise extends to ETL and Data Integration using Talend Open Studio, as well as data modeling with Open ModelSphere. He also has a basic understanding of statistical techniques, including ANOVA, correlation and regression techniques, probability theories, and hypothesis testing. These skills support his work in data management and governance.