Paulin Grosse

Chief Sustainability Officer at Desautels Capital Management
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Contact Information
us****@****om
(386) 825-5501
Location
Montreal, Quebec, Canada, CA
Languages
  • French Native or bilingual proficiency
  • English Full professional proficiency
  • German Professional working proficiency

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Credentials

  • VBA for Finance Professionals
    The Marquee Group
    Sep, 2022
    - Nov, 2024
  • CFA Level 1
    CFA Institute
    Aug, 2021
    - Nov, 2024

Experience

  • Desautels Capital Management
    • Canada
    • Investment Management
    • 100 - 200 Employee
    • Chief Sustainability Officer
      • Jun 2022 - Present

      Me and my team monitor which stocks are included in the Socially Responsible investing (SRI) fund of Desautels Capital Management. Each sector team must submit a due diligence sheet explaining how the company they want to pitch respects the positive and negative screens of the fund. We then review this their submission, discuss with the team if we need more information and accept or reject the stock to be pitched.This year we are computing the fund's carbon intensity by calculating the fund's greenhouse gas emission per million of dollar invested. As of today the SRI fund emits 19.4 tons of CO2e/$M invested compared to 50 tons of CO2e/$M invested for the S&P 500. This shows us that our efforts to invest sustainably go in the right direction.

    • Equity Analyst
      • Jun 2022 - Present

      I follow the utility sector and in particular companies in the renewable energy industry. With my team we will pitch a company to be included in the A2 and SRI fund in December.

  • RBC Insurance
    • Canada
    • Insurance
    • 700 & Above Employee
    • Personal Line Insurance Advisor
      • May 2020 - Feb 2021

      Addressed client needs to recommend the appropriate insurance product, building client relationships Addressed client needs to recommend the appropriate insurance product, building client relationships

  • Laboratory for Macroeconomic Policy
    • Research Assistant
      • Jan 2019 - Feb 2020

      I worked on a panel data base from 1980 to 2018 containing case laws from every Canadian province. To create the database I automated the download of 30,000 documents using Python and the Selenium and Beautiful Soup libraries. This saved me and my team hundreds of hours of boring manual work.I then used natural language processing in python to measure gender bias, identifying gender driven lexical environments. I wrote an algorithm that identified the gender of the plaintiff and the defendant in each case law, using dependency parsing in the library SpaCy. I found that 75% of plaintiffs are female and 85% of defendants are male. Finally, using SpaCy, I identified all the different adjectives used by the judge to describe the plaintiff and the defendant. I then showed the result in a word-cloud. I found that adjectives used for plaintiffs were more subjectives whereas adjectives used for defendant were very neutral.

  • Université de Montréal
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • May 2018 - Jan 2020

      Animated classrooms of 30 students to prepare them for their exams, developing communication abilities Animated classrooms of 30 students to prepare them for their exams, developing communication abilities

Education

  • McGill University - Desautels Faculty of Management
    Master of Management in Finance, Finance
    2022 - 2023
  • Université de Montréal
    Honors Bachelor in economics, Economics
    2016 - 2019

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