Ankur Bhartiya
About Ankur Bhartiya
Ankur Bhartiya is a Quantitative Researcher at Squarepoint Capital in London, England, where he has worked since 2020. He holds an MBA from the Indian Institute of Management Bangalore and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Kanpur.
Work at Squarepoint Capital
Ankur Bhartiya has been employed as a Quantitative Researcher at Squarepoint Capital since 2020. He is based in London, England, United Kingdom. In this role, he focuses on quantitative research methodologies to support trading strategies and investment decisions. His experience in quantitative analysis and algorithmic trading contributes to the firm's data-driven approach.
Education and Expertise
Ankur Bhartiya holds a Master of Business Administration (MBA) from the Indian Institute of Management Bangalore, where he studied from 2013 to 2015. He also earned a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from the Indian Institute of Technology, Kanpur, completing his degree from 2005 to 2009. His educational background provides a strong foundation in both business and technical skills.
Background
Before joining Squarepoint Capital, Ankur Bhartiya worked at Deutsche Bank as part of the DeltaOne Quant Strats team from 2016 to 2020 in London, United Kingdom. Prior to that, he was a Quantitative Analyst specializing in Algorithmic Trading at Futures First Info. Services Pvt. Ltd. from 2009 to 2013 in Gurgaon, India. His career trajectory reflects a consistent focus on quantitative finance and algorithmic trading.
Professional Experience
Ankur Bhartiya's professional experience spans over a decade in quantitative finance. He began his career at Futures First Info. Services Pvt. Ltd. as a Quantitative Analyst, where he worked for four years. He then transitioned to Deutsche Bank, where he spent another four years in a quantitative role before moving to Squarepoint Capital. His roles have involved developing and implementing quantitative models and trading strategies.