Pratyush Mohile
About Pratyush Mohile
Pratyush Mohile is a Quantitative Analyst at Privé Technologies in Singapore, specializing in risk modeling and financial analysis. He holds a Bachelor's degree in Mechatronics Engineering from Manipal Institute of Technology and a Master's degree in Quantitative Finance from the University of Technology Sydney.
Work at Privé Technologies
Pratyush Mohile has been serving as a Quantitative Analyst at Privé Technologies since 2019. In this role, he utilizes data extraction and analytics to provide actionable insights that support the company's business objectives. He develops quantitative models using programming languages such as Python and R, which enhance financial analysis and decision-making processes. His specialization in risk modeling and pricing of structured products plays a crucial role in shaping the company's financial strategies.
Education and Expertise
Pratyush Mohile holds a Bachelor of Technology (BTech) in Mechatronics Engineering from Manipal Institute of Technology, where he studied from 2012 to 2016. He further advanced his education by obtaining a Master's degree in Quantitative Finance from the University of Technology Sydney, completing his studies in 2019. His academic background equips him with a strong foundation in both engineering and finance, allowing him to excel in quantitative analysis.
Background
Prior to his current position, Pratyush Mohile gained valuable experience through various internships. He worked as an intern at Bajaj Finserv for three months in 2017, where he was exposed to financial services. In 2016, he completed a six-month research internship at the National University of Singapore, contributing to academic projects. Additionally, he was a trainee at Hyundai Construction Equipment Company for one month in 2015, which provided him with insights into the engineering sector.
Achievements
Pratyush Mohile has developed a strong ability to communicate complex quantitative insights effectively to stakeholders. His expertise includes the development and application of Value at Risk (VaR) internal models and standard methods, which are essential for risk assessment and management. His contributions in these areas support the financial strategies of Privé Technologies and enhance the company's overall risk management framework.