Hiteeksha Mathur G.
Quant Finance Career guidance I wish I had received earlier| BlackRock Quant Researcher | UCLA MFE
UCLA Anderson School of Management
BlackRock
Available tomorrow
Starting at 4:00 PM UTC
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Work Experience
Board Member
UCLA Women
November 2025 - Present
Educator
‘Quant’ify Your Career
September 2024 - Present
Career Guidance & Mentorship Platform to educate and share experiences & learnings in Quantitative Finance and Professional Development
Angel Investor
Hustle Fund
February 2024 - December 2024
Quantitative Research
BlackRock
September 2022 - Present
Quant Research-Multi Asset Strategy Quantitative Finance, Python and +3 skills
Product Manager
BlackRock
April 2021 - September 2022
Aladdin Advisor Center Software Product Management, Product Planning and +2 skills
Research Assistant
UCLA Anderson
August 2020 - December 2020
1. Project with Professor Mariko Sakakibara: Analysing factors like earnings volatility and forecast errors affecting information asymmetry in a firm - leading to a corporate spinoff. 2. Project with Global Economics Management PhD student Thomas Groesbeck: Quantifying costs and benefits of early access software by analysing bug reports using Web Scraping & Natural Language Processing. Quantitative Finance
Software Engineering Intern
Western Asset Management
May 2020 - July 2020
AI in Bond Fund management
Risk Analyst
BlackRock
February 2018 - August 2019
Quant and AI Financial risk analyst for wealth manager clients
Consultant
EY
May 2016 - February 2018
Financial Risk Advisory for banks
Intern
Karvy Stock Broking
May 2015 - August 2015
Currency Derivatives Desk
Education
Narsee Monjee Institute of Management Studies
MBA (Dual Degree), Finance
2011 - 2016
Narsee Monjee Institute of Management Studies
Bachelor's (Dual Degree), Engineering in Information Technology
2011 - 2016
UCLA Anderson School of Management
Master of Financial Engineering
Coursework: Econometrics, Quantitative Asset Management, Computational Finance, Machine Learning, Financial Risk, Fixed Income, Derivatives, Stochastic Calculus
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