Paul Hamel

Quantitative Strategy Developer at Quiver Quantitative
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Credentials

  • CFA Level 1 Passed
    CFA Institute
    Dec, 2019
    - Nov, 2024
  • Python for Financial Analysis and Algorithmic Trading
    Udemy
    Jun, 2019
    - Nov, 2024
  • Financial Trading in R
    DataCamp
    Apr, 2019
    - Nov, 2024
  • Intermediate R for Finance
    DataCamp
    Apr, 2019
    - Nov, 2024

Experience

    • Financial Services
    • 1 - 100 Employee
    • Quantitative Strategy Developer
      • May 2022 - Present

      https://www.quiverquant.com/strategies/ https://www.quiverquant.com/strategies/

    • United States
    • Financial Services
    • 700 & Above Employee
    • Senior Business Analyst
      • Jan 2022 - May 2022

      Credit Risk Management - Vehicle value forecasting for loss forecasting and stress testing (DFAST/CCAR)

    • Business Analyst
      • Aug 2020 - Jan 2022

    • United States
    • Financial Services
    • Quantitative Analyst Intern
      • 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.

    • United States
    • 700 & Above Employee
    • Non-Professional Trader
      • 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.

    • United States
    • Financial Services
    • 1 - 100 Employee
    • Trade Desk Intern
      • Jan 2019 - May 2019

    • Financial Analyst
      • Jul 2015 - Aug 2018

Education

  • University of Pennsylvania
    Master's of Computer and Information Technology
    2022 - 2024
  • The University of Texas at Austin - Red McCombs School of Business
    Quantitative Finance
    2016 - 2020

Community

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