QVR MANAGEMENT TEAM

SCOTT TOYAMA, SCOTT MAIDEL, TAE HONG, STEVE RICHEY AND BENN EIFERT

For more information about QVR Advisors please contact Scott Maidel, Head of Hedge Funds Business at Scott.Maidel@qvradvisors.com

QVR CONVEXITY ALPHA

Steve Richey

Steve Richey is co-CIO, Head of Convexity Alpha at QVR managing the Convexity Alpha Market Neutral, Hedged Equity and Volatility Convexity strategies. Steve has long career success generating alpha from dislocations in S&P 500 option markets. Steve has spent over 25 years researching and refining S&P 500 trading strategy both professionally and personally. Steve started his trading career at First Quadrant and in his 11 years there, he attained the position of Partner and Director of Trading and Global Options Strategies where he oversaw a $3+ Billion systematic volatility program at its peak. Steve more recently was a PM at Capstone and Parallax. Steve holds a B.Sc. And MBA from Hawaii Pacific University and is a CFA Charterholder.

QVR ABSOLUTE RETURN

Tae Hong

Tae Hong is Partner and co-CIO, Head of Absolute Return at QVR. Tae joined QVR from Uber where he was a Data Scientist in the Safety team. Previously, Tae was a Senior Portfolio Manager at Peak6 managing a quantitatively-driven options portfolio. Tae has also held options trading positions at the Cutler Group and Group One Trading. Tae holds a BA in Economics, Statistics and Cognitive Neuroscience from UC Berkeley, and passed the exams for CFA levels 1-3.

Benn Eifert

Dr. Benn Eifert is President of QVR overseeing research and management activities. He was previously co-founder and co-portfolio manager of Mariner Coria in New York. Before that he was Head of Quantitative Research and Derivatives Trader for the Wells Fargo proprietary trading desk, which spun out of the bank to become Overland Advisors. He taught extensively in the Masters in Financial Engineering program in the Haas School of Business at UC Berkeley. He started his career as an emerging markets macroeconomist at the World Bank. He holds a PhD in Economics from the University of California, Berkeley and BA in Economics and International Relations from Stanford University.

Jimmy Li

Jimmy is a Senior Quantitative Trader at QVR. He joined from Stone Ridge Asset Management, where he was a Volatility Trader. Previously, Jimmy worked at Goldman Sachs and Wolverine Trading as an Equity Derivative Market Maker. Jimmy holds a BS in Finance and Economics from NYU Stern School of Business.

QVR QUANTITATIVE RESEARCH

Kemp Nicklin

Kemp joins as a Senior Quantitative Researcher at QVR. He was previously Senior Quantitative Research Analyst and Portfolio Manager at Rotella Capital Management for 13 years, where he developed machine learning techniques for systematic options and futures strategies across asset classes. He has a MS in Computational Finance and BS in Applied and Computational Mathematical Sciences and Economics from the University of Washington.

Dominik Procyk (Consultant)

Dominik joins as a Quantitative Analyst (Consultant) working with Benn on special research projects.

Dominik holds a B.A. from Simon Fraser University in Canada, and recent experience in research and analytics development in derivatives and crypto with Amber Capital and Pine Financial. He is a prolific researcher and poster of derivatives and volatility content on Twitter.

HEDGE FUND BUSINESS DEVELOPMENT

Scott Maidel

Scott Maidel is Partner and Head of Hedge Funds Business at QVR. He was previously Senior Portfolio Manager, Equity Derivatives at Russell Investments, Associate Director, Global Trading and Trade Research at First Quadrant and most recently was with Gladius Capital Management as Director of Institutional Solutions. Scott has over 15 years of trading and portfolio management experience with global derivatives. Scott holds a B.Sc. in Investments and Financial Markets from the University of Southern California, an MBA from Pepperdine University and is a Harvard Business School alumni of the Program for Leadership Development (PLD). Scott is a CFA charter holder and Financial Risk Manager (FRM) certified.

TECHNOLOGY

Kamil Choudhury

Kamil is Head of Technology at QVR. Kamil was most recently Founder of LevelCompute, which enabled trading of on-demand cloud compute capacity at reserved prices. He spent 2008-16 at Goldman Sachs where he was a Vice President in Core and Fixed Income Technology. Before Goldman, he worked in Securities Pricing Technology at Bear Sterns.

Jonathon Fletcher

Jonathon is Head of Trading Technology at QVR. Jonathon was previously in the Quantitative Trading Group at Sentient Investment Management and Head of Platform at Sentient Technologies. His prior roles include Director of Automated Trading at Citi in Hong Kong and Tokyo, and VP, Equity Derivatives Trading, at Nikko Salomon Smith Barney. He began his career at Salomon Brothers in Asia. Jonathon holds a B.Sc. (Hons) in Computer Science from University of Stirling. Jonathon is credited as being named the “father of the search engine” after conceiving and creating the first WWW search engine that behaved, and appeared to the user, the way current web search engines do. See here: https://en.wikipedia.org/wiki/JumpStation.

FINANCE, OPERATIONS AND COMPLIANCE

Scott Toyama

Scott Toyama is Partner, Chief Operations, Chief Compliance and Chief Financial Officer at QVR. He joined QVR from Wells Fargo where he was most recently a Business Analyst Manager. He was previously Director of Operations at the Wells Fargo proprietary trading desk, which became the hedge fund Overland Advisors, and Operations Manager at Wells Fargo Securities. He started his career as a Risk Management Analyst for PG&E. He holds MS and BA degrees in Economics from UC Santa Cruz.

David Rothwell

David joined QVR from Constellation Advisors LLC where he was a Manager in the CFO - Accounting and Finance team from 2018-2020. Prior to Constellation he was an Account Manager at Citco Fund Services in San Francisco working across fund accounting and middle office teams. He holds a Bachelor’s degree in Business Administration and Management from the University of Bath graduating with Honours. He is also a qualified accountant, holding the CGMA designation (Chartered Global Management Accountant).

INTERN ALUMNI FALL 2022

Jiaye (Julia) Su

Jiaye joined as a Quantitative Analyst (Intern) and is a 2023 candidate in the Master of Financial Engineering program at UC Berkeley.

Jiaye Su received her dual bachelor's and master's degrees in Mathematics and Computer Science from Rose-Hulman Institute of Technology and Master of Quantitative Finance from the University of Waterloo. During her studies, Jiaye interned with three companies, thereby gaining experience in quantitative development, private equity, corporate finance, data science, and indexing strategies. Before joining the Berkeley MFE program, Jiaye worked as a front office quant and initiated the framework of the intraday pricing library for the commodity desk at RBC.

Artem Shuvalov

Artem joined as a Quantitative Analyst (Intern) and is a 2023 candidate in the Master of Financial Engineering program at UC Berkeley.

Artem has three years of experience in exotic equity derivatives trading and Quantitative Index Strategies. Throughout these experiences, he had the opportunity to apply his skills in probability theory, stochastic processes, statistics, and computer programming in the management of portfolios composed of vanilla and exotic equity derivatives (e.g., Asian, Digital, Barrier Options, Reverse Convertibles, and Autocallables). He was involved in various projects, ranging from the creation of Quantitative Index Strategies (a platform for idea-generation and management of existing products) to the development of Python libraries for exotic derivatives book management that produced more comprehensive risk insights as well as stress-testing and back-testing tools. During his master's program, Artem had extensive exposure to empirical studies, focused on statistics, machine learning, and econometrics with applied projects related to the prediction of realized volatility and the estimation of the probability density of returns.