Paul Hamel
Quantitative Strategy Developer at Quiver Quantitative- Claim this Profile
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Bio
Credentials
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CFA Level 1 Passed
CFA InstituteDec, 2019- Nov, 2024 -
Python for Financial Analysis and Algorithmic Trading
UdemyJun, 2019- Nov, 2024 -
Financial Trading in R
DataCampApr, 2019- Nov, 2024 -
Intermediate R for Finance
DataCampApr, 2019- Nov, 2024
Experience
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Quiver Quantitative
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Financial Services
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1 - 100 Employee
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Quantitative Strategy Developer
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May 2022 - Present
https://www.quiverquant.com/strategies/ https://www.quiverquant.com/strategies/
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Capital One
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United States
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Financial Services
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700 & Above Employee
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Senior Business Analyst
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Jan 2022 - May 2022
Credit Risk Management - Vehicle value forecasting for loss forecasting and stress testing (DFAST/CCAR)
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Business Analyst
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Aug 2020 - Jan 2022
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Robertson Opportunity Capital
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United States
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Financial Services
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Quantitative Analyst Intern
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Sep 2020 - Jan 2022
Created backtesting framework to backtest different hypothetical trading strategies layered onto the historical trades of the fund to obtain insights on how to best manage positions. Created backtesting framework to backtest different hypothetical trading strategies layered onto the historical trades of the fund to obtain insights on how to best manage positions.
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Self Employed
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United States
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700 & Above Employee
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Non-Professional Trader
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May 2017 - May 2020
I am both long and short for any time horizon that proves to be valid opportunity. The majority of my portfolio is commonly made up of long positions with a larger time horizon to capture exposure to the market. I analyze economic conditions and global events to identify sectors I believe will thrive in the near future, primarily looking for sectors recovering from cyclical tailwinds. I narrow my search using comparable company analysis to further analyze individual equities using discounted cash flow analysis in order to determine if a specific equity will be beneficial to my portfolio. The majority of my short positions are on a small time horizon. I use technical analysis for entries backed by fundamental research that dictates both my target prices and position sizes. I scan for hyperbolic upwards moves, often in the biotech sector and research SEC filings in attempt to find evidence of future equity dilution or project cash flows to estimate when a company will likely dilute their equity with a secondary offering in the event they have not yet filed a form stating they will dilute their equity. I use both RStudio and Python to analyze historical data for macro analysis as well as the research of new strategies.
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Fulcrum Capital
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United States
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Financial Services
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1 - 100 Employee
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Trade Desk Intern
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Jan 2019 - May 2019
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Financial Analyst
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Jul 2015 - Aug 2018
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Education
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University of Pennsylvania
Master's of Computer and Information Technology -
The University of Texas at Austin - Red McCombs School of Business
Quantitative Finance