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Marcell Kujbus is listed as Algorithmic Trader and Co-Founder at Trafulla Trading at Trafulla Trading, based in Budapest, Budapest, Hungary. AeroLeads shows a matched LinkedIn profile for Marcell Kujbus.
Marcell Kujbus previously worked as Algorithmic trader and Co-Founder at Trafulla Trading and Quantitative Developer at Iquant Solutions. Marcell Kujbus holds Master Of Science - Ms, Applied Mathematics from Central European University.
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https://marcellkujbus.wixsite.com/mysiteI am always striving to bring 100% to the work I do, and my goal as a mathematician/economist is to develop financial econometrical models/algorithms that can beat the market. I am capable of identifying and hedging the risks that pop up while trading. Skilled in:⌁ Quantitative development --Python, Scala, C#⌁ Algorithmic trading on Cryptocurrency exchanges --Binance, BitMEX⌁ Software testing --unit testing, integration testing, regression testing, mocked environments⌁ Financial mathematics --My knowledge covers John C. Hull - Options, Futures, and Other Derivatives book (tenth edition)⌁ Mathematics --Probability and stochastic calculus as main major⌁ Git --every day use⌁ Data Science (bronze medal in Kaggle competition) --Python (PyCharm, Jupyter, Vim), Scala - Spark (IntelliJ, Vim)⌁ Machine Learning modelling for algorithmic trading --Won National Scientific Students' Association first prize (Hungary)Career:🔛 Progressive Quantitative Developer at iQuant Solutions (from February 2021)🔛 Progressive algorithmic trader in the cryptocurrency market using fully functional self-built trader bot (from April 2019)🔛 Quantitative Model Validation Specialist and Scrum Master expertise at MSCI Inc. in an agile environment (April 2019 - February 2021)🔛 1 year of Risk Management at Morgan Stanley in Credit Risk and Wealth Management fields, part responsibility for PDE model🔛 Best quantitative solution for I-Com Global Data Science Hackathon at Malaga, 2019🔛 Most awarded paper in 2018-2019 among uni students with a work of buliding a trading strategy on the Merger&Acquisition market via Support Vector Machine🔛 Develop innovative tools🔛 Strong drive for results ; data and metrics-drivenHigher Education★ Among top3 of Applied Mathematicians at Central European University, with a GPA of 3.9/4★ Among top3 of graduated Financial-Mathematical analysts at Corvinus University of Budapest, with a GPA of 4.72/5★ Attendee of Special Empirical Finance Research programme 2019Contact me:Email: marcellkujbus@gmail.comvia LinkedIn“Hunger is the best seasoning” - Ken Follett
Listed skills include Mathematics, Trading Strategies, Presentation Skills, Atlassian, and 44 others.
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Budapest, Hungary
Building cryptocurrency hedge fund to automate crypto perpetual futures trading through econometrics, mathematics and technical indicators.Keywords: Kubernetes, Continuous streaming via websocket API, Fully functional algorithmic trader bot, quantitative analyzer modules, easy-to-use interface for defining any multimarket market-making or market-taking.
Budapest, Hungary
Responsible for building quant modelling universe (pricings, risk measures, exposure) that are used in the following real life examples: solvency, opera, priips, aifmd, real estate reporting. Adhering to a strict test driven development mindset, I implemented all the pricing methods (greeks and exposure) for various assets (fixed income products like bonds.
Budapest
Responsible for validating single security analytical calculations in MSCI Beon (e.g risk metrices like expected shortfall, equity delta etc.). Experience with products like RiskMetrics, BarraOne, RiskServer, BPM, Optimizer and with MSCI indices (MSCI World, MSCI China etc.).Keywords: Software development and testing.
Budapest
Keywords: Software engineering, Git, Financial instruments, Python, Scala, Performance attribution, automatization, agile workflow
Budapest
Keywords: Econometrics, Probability of default, Natural Language Processing, Python, R, internationally diverse team
Budapest
Keywords: Spline modelling, Financial risk, Python, R, internationally diverse team
GPA: 3.93/4 Thesis abstract: While it is crucial to configure the hyper-parameters properly, the most widely used grid search method has.
Courses taken already Graduate Econometrics - Time Series Analysis Machine Learning R coding Matlab coding Empirical Finance Reading.
Grade: GPA 4.72/5 - among Top 3 of the program Specialized in Financial Mathematics. Thesis: Automatized trading strategy on the M&A.
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Marcell Kujbus works for Trafulla Trading.
Marcell Kujbus is listed as Algorithmic Trader and Co-Founder at Trafulla Trading at Trafulla Trading.
Marcell Kujbus is based in Budapest, Budapest, Hungary while working with Trafulla Trading.
Marcell Kujbus has worked for Trafulla Trading, Iquant Solutions, Msci Inc., Morgan Stanley, and Gem Student Organization.
You can use AeroLeads to view verified contact signals for Marcell Kujbus at Trafulla Trading, including work email, phone, and LinkedIn data when available.
Marcell Kujbus holds Master Of Science - Ms, Applied Mathematics from Central European University.
Marcell Kujbus is listed with skills including Mathematics, Trading Strategies, Presentation Skills, Atlassian, R, Scikit Learn, Git, and Vim.
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