Jarosław Klamut

Quantitative Research Analyst at Algopolis.Ai - algorithmic trading platform
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Contact Information
us****@****om
(386) 825-5501
Location
PL
Languages
  • English Full professional proficiency
  • Polish Native or bilingual proficiency

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Maciej Górski

Jarosław sets the bar for data scientists everywhere, and I am privileged to have had the opportunity to work with him for 2+ years. He solves fuzzy business problems through rigorous data analysis. He made key contributions to several of XTB products. He was instrumental in building the data science team. Finally, he's a great communicator -- an ideal person to represent data science to both technical and non-technical audiences. I've seen Jarosław do amazing things, and I'm sure there are many more to come.

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Experience

    • Poland
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Quantitative Research Analyst
      • Apr 2020 - Present

      + Filtering and processing financial statements from EDGAR database using NLP techniques + Preparing OHLCV and fundamental data for backtesting investing strategies + Quantitative research and cooperation with data science team + Programming investment strategies and risk management solutions in QuantConnect, Lean and in-house framework + Technical and administrative supervision of live trading + Filtering and processing financial statements from EDGAR database using NLP techniques + Preparing OHLCV and fundamental data for backtesting investing strategies + Quantitative research and cooperation with data science team + Programming investment strategies and risk management solutions in QuantConnect, Lean and in-house framework + Technical and administrative supervision of live trading

    • Poland
    • Higher Education
    • 700 & Above Employee
    • PHD Candidate
      • Oct 2016 - Present

      PhD student with scholarship, active participation in many conferences and publications. + teaching students (Stochastic Processes, Econophysics), + research concerning correlated CTRW models: simulations and modelling empirical data, analytical solutions, + correlations and multifractality in interevent times, + studying models of complex networks and electoral systems susceptibilities. PhD student with scholarship, active participation in many conferences and publications. + teaching students (Stochastic Processes, Econophysics), + research concerning correlated CTRW models: simulations and modelling empirical data, analytical solutions, + correlations and multifractality in interevent times, + studying models of complex networks and electoral systems susceptibilities.

    • Poland
    • Capital Markets
    • 500 - 600 Employee
    • Data Scientist
      • Oct 2018 - Apr 2020

      + data gathering and visualisation (data & features engineering),+ clients behaviour predictions: churn, lifetime, total lifetime value, classification.

    • Quantitative Analyst
      • Mar 2015 - Sep 2018

      + pricing derivatives and market behavior modelling,+ analysis of trading strategies effectiveness, and retail and institutional flow,+ creating machine learning models for clients classifications.

Education

  • University of Warsaw
    Doctor of Philosophy (PhD), Physics, Econophysics
    2016 - 2020
  • University of Warsaw
    Master of Science - MS, Physics, Econophysics
    2014 - 2016
  • University of Warsaw
    Bachelor of Science - BS, Physics, Individualized Course
    2011 - 2014

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