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Selim AdyelSA

Selim Adyel

Senior quantitative analyst in systematic trading

€ 1.736/dag
London, GB
8-15 jaar

Gemiddelde responstijd: 1 uur

Over Selim

Alphubel builds and manages institutional quality, low maintenance and fully systematic quant trading frameworks and strategies in crypto, global macro and equities, helping investment managers outperform the market without wasting unnecessary time and money in R&D.

Alphubel provides state of the art consultancy in systematic trading, quantitative research, data science and machine learning. Unique expertise in traditional finance and crypto systematic trading R&D and excellence in quantitative research.
  • Engels

    Tweetalig / moedertaal

  • Frans

    Tweetalig / moedertaal

Uitsluitend remote
Werkt voornamelijk remote

Werkervaring

  • Massira Capital
    Chief Investment Officer
    september 2023 - Vandaag (2 jaren en 9 maanden)
    London, UK
    Privately held trading and investment company. Proprietary quantitative trading and investments.
  • Alphubel
    Founder, principal
    maart 2020 - Vandaag (6 jaren en 3 maanden)
    Alphubel provides state of the art consultancy in systematic trading, quantitative research, data science and machine learning. www.alphubel.io Some of past and current projects: 1/ DEFI protocol: built the quantitative framework from scratch 2/ GTS: quantitative trading strategies, external portfolio manager 3/ Outremont Technologies: quantitative strategist / portfolio manager
    • Built profitable crypto quant strategies framework from scratch, managing the strategies and developers 4/ Dystematic: head of alpha research
    • Built the alpha product from scratch: cross-assets trading signals/strategies using transparent/explainable AI and alternative data
    • Built advanced data visualization dashboards
    • Predictive analytics 5/ Start-up hedge fund: portfolio managers selection and advisory on fund and tech build-out
  • CAXTON ASSOCIATES
    Quantitative analyst / portfolio manager
    januari 2018 - januari 2019 (1 jaar)
    London, UK

    • Full development lifecycle and management of systematic low frequencies global macro quant trading strategies
    • Predictive analytics
    • Data visualization
    • Automation

Aanbevelingen

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Opleidingen

  • Machine Learning (Prof. Andrew Ng)
    Stanford University
    2018
    Machine Learning (Prof. Andrew Ng)
  • Master of Science MSc in Financial Engineering and Engineering Degree (ing. fin. dipl. EPF), Applied Financial Mathematics
    Ecole polytechnique fédérale de Lausanne
    2015
    Master of Science MSc in Financial Engineering and Engineering Degree (ing. fin. dipl. EPF), Applied Financial Mathematics

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