Abhay Kumar is a Risk Lead with extensive experience in credit risk analysis and business intelligence tools. He has a strong educational background in Mathematics and Science, as well as Materials Science, and has worked in various roles across multiple organizations in India.
Current Role at BharatPe
Abhay Kumar currently serves as the Risk Lead at BharatPe, a position he has held since 2022. In this role, he is responsible for overseeing risk management strategies and ensuring the integrity of risk assessments within the organization. His experience in the financial technology sector contributes to his effectiveness in this position.
Previous Experience at BharatPe
Prior to his current role, Abhay Kumar worked at BharatPe as a Senior Manager - Risk from 2021 to 2022. He also held the position of Credit Risk Manager at BharatPe from 2020 to 2021. His tenure at BharatPe has involved significant contributions to the company's risk management framework.
Professional Background in Credit Risk Analysis
Abhay Kumar has extensive experience in credit risk analysis. He worked as a Senior Credit Risk Analyst at Home Credit India from 2017 to 2018 and at ZipLoan from 2018 to 2020. His roles in these organizations focused on evaluating credit risk and implementing strategies to mitigate potential losses.
Education and Expertise
Abhay Kumar studied at the Indian Institute of Technology, Kanpur, where he earned a Bachelor of Technology (B.Tech.) in Materials Science from 2011 to 2016. He also completed his secondary education at Delhi Public School Ranchi and Jawahar Navodaya Vidyalaya Vaishali Bihar, focusing on Mathematics and Science, and Mathematics and Statistics, respectively.
Technical Skills and Tools
Abhay Kumar possesses strong technical skills in various analytical tools and programming languages. He is experienced in SAS/BASE and Oracle BI for data management and business intelligence. Additionally, he utilizes FICO Blaze Adviser for decision management and is proficient in Python libraries such as Pandas, Numpy, and Sklearn for data analysis and machine learning tasks.