Dhananjay Shukla
About Dhananjay Shukla
Dhananjay Shukla is a Quantitative Modeler and Analyst at UBS, specializing in developing forecasting models for the Comprehensive Capital Analysis and Review (CCAR) exercise. He holds a Bachelor of Engineering in Electronics and Telecommunication Engineering from K J Somaiya College of Engineering and a Master's in Information Technology and Analytics from Rutgers Business School.
Work at UBS
Dhananjay Shukla has been employed at UBS as a Quantitative Modeler/Analyst since 2019. In this role, he develops forecasting models specifically for the Comprehensive Capital Analysis and Review (CCAR) exercise. He engages with internal stakeholders to gather insights for model development and identifies the primary factors driving change. Shukla also manages small team projects, ensuring that project deadlines are met and providing model development reports for senior management.
Education and Expertise
Dhananjay Shukla holds a Bachelor of Engineering in Electronics and Telecommunication Engineering from K J Somaiya College of Engineering, which he completed from 2012 to 2016. He furthered his education at Rutgers Business School, where he earned a Master's of Information Technology and Analytics in 2017. His academic background equips him with the technical knowledge necessary for his role in quantitative modeling and analytics.
Background
Shukla began his career as an Analytic Developer Intern at Mathematica Policy Research, where he worked from 2017 to 2018. This experience provided him with foundational skills in data analysis and modeling. His transition to UBS allowed him to apply these skills in a more specialized context, focusing on financial modeling and analysis.
Technical Skills
Dhananjay Shukla utilizes a range of technical skills in his work, including proficiency in R, SAS, and Tableau. These tools enable him to analyze and model data effectively for various revenue-generating businesses. He tests models to ensure they meet industry standards and are statistically robust, contributing to the reliability of the forecasting models he develops.