Paulo Cardeira Gomes

Chief Financial Officer at ai.pt
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Contact Information
Location
Lisbon, Lisbon, Portugal, PT
Languages
  • English Full professional proficiency
  • Portuguese Native or bilingual proficiency
  • French Limited working proficiency
  • Spanish Limited working proficiency

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5.0

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Pedro Brum Feijao

I’ve known Paulo for many years and I can corroborate his top skills in asset management and business development. Besides having strong core ethical values, Paulo has strong entrepreneurial features and strong resilience in adverse moments.

José Maia

I worked with Paulo in different environments: while developing a major Portuguese Asset Manager for Caixa Geral de Depositos in Portugal, Spain and Luxembourg; teaching Portfolio Management in Catolica University´s MBA; launching a major Family House. He has always been a very hard and effective worker and a trustful colleague. With a solid background on Finance and Management he is always curious and a fast learner on different areas that we required. He is a top professional and has definitely contributed for the success of the different projects we developed.

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Credentials

  • Introduction to Programming Using Python
    Coursera Course Certificates
    Nov, 2019
    - Sep, 2024
  • Chartered Financial Analyst (CFA)
    CFA Institute
    Jun, 2001
    - Sep, 2024
  • CF4, CF30, (CISI Level 4)
    Financial Conduct Authority
  • Certified Public Accountant
    Ordem dos Técnicos Oficiais de Contas

Experience

    • Technology, Information and Internet
    • 1 - 100 Employee
    • Chief Financial Officer
      • May 2023 - Present
    • United Kingdom
    • Investment Management
    • 1 - 100 Employee
    • Partner
      • May 2022 - Present

      Alternative Investments Alternative Investments

    • 1 - 100 Employee
    • Co-Founder and CEO
      • Jan 2017 - Present

      I co-founded this successful Fintech venture, subsequently dedicated to providing Machine /Deep Learning solutions for the Investment Industry. Portfolio risk mitigation strategies, using sophisticated pattern recognition and market regimes detection. A great outcome was the creation of portfolio mixes across equity, bonds, commodities and money market whose resilience measured consistently with sharpe ratios from 1.6x to 2.0 An exciting challenge was the implementation of Predictive Analytics Software Systems in order to maximise the potential of machine learning. This ensured seamless advisor and investor workflows through use of digital platforms and enabled us to master Deep Convolutional Neural Networks, achieving a 67% accuracy in forecasting equities movement. Throughout this period, I have managed teams, partners, consultants and professional advisors, creating relationships based on integrity and trust. Show less

Education

  • Universidade Católica Portuguesa
    Business Administration

Community

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