Ashay Awate

Ashay Awate, CFA has a strong background in the finance and technology sectors. Ashay worked at AlphaGrep Securities as a Vice President, where they developed an end-to-end system for automated algorithmic trading. Ashay was involved in all processes, from data acquisition to risk management, and utilized machine learning and cloud computing technologies for automated research.

Prior to that, Ashay worked at WorldQuant LLC in various roles. As a Vice President, they led and managed multiple projects with a global team of researchers. Ashay also played a research role, developing quantitative models for predicting financial markets. Additionally, they served as a Senior Quantitative Researcher and Quantitative Researcher during their time at the company.

Ashay began their career as a Summer Intern at IBM, where they worked in the Technology Computer-Aided Design group. Ashay focused on developing and implementing mobility models to enhance the functionality of IBM's device simulator.

Overall, Ashay brings a wealth of experience in finance, technology, and research, with a strong track record in developing innovative strategies and models for profitable trading.

Ashay Awate, CFA has a diverse education history. Ashay attended Sardar Vallabhbhai Patel Vidyalaya from 1998 to 2004, where they completed their schooling and obtained an SSC degree. From 2004 to 2006, they attended Bhavans Junior College and completed their High School, HSC with a focus on Science and Vocational studies.

Ashay'stertiary education took place at the Indian Institute of Technology, Bombay, from 2006 to 2011. During this time, they obtained a B.Tech + M.Tech degree with a specialization in Electrical, MicroElectronics, Solar Cells, and Photovoltaics.

In terms of additional certifications, Ashay Awate has earned the prestigious Chartered Financial Analyst (CFA) Charterholder designation from the CFA Institute in July 2014. Additionally, they have completed various Coursera courses and holds certificates in Practical Machine Learning on H2O (August 2020), Customer Analytics (July 2020), and Operations Analytics (July 2020).