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  • Zürich, Switzerland

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JurajZelman/README.md

Hello there 👋

# About me

class QuantitativeDeveloper:
    def __init__(self):
        self.name = "Juraj Zelman"
        self.role = "Quantitative Developer & Quantitative Finance Student"
        self.uni = "ETH Zürich & UZH"

    def get_interests(self):
        self.math = "Math. Finance, Statistics, Numerical Methods, Optimal Control"
        self.comp_science = "Statistical Learning, (Deep) Reinforcement Learning"
        self.finance = "Statistical Arbitrage, Market Making, Portfolio Optimization"
        return f"{self.math} and {self.comp_science} and {self.finance}"

    def say_hi(self):
        print("Thanks for stopping by, hope you find some of my work interesting!")


me = QuantitativeDeveloper()
me.say_hi()

🔧 Technologies & Tools

Pinned Loading

  1. airl-market-making airl-market-making Public

    Codes for my master thesis from ETH Zürich & UZH on reinforcement learning for market making.

    Python 8 1

  2. distortion-risk-measures distortion-risk-measures Public

    BSc thesis focused on distortion risk measures and reward-risk ratios.

    Jupyter Notebook 1

  3. volatility-path-dependent volatility-path-dependent Public

    Code for the paper "Volatility is (mostly) path-dependent - Guyon, Lekeufack (2022)".

    Jupyter Notebook 2

  4. multi-armed-bandits multi-armed-bandits Public

    Several multi-armed bandit strategies with additional holding option for smoother exploration.

    Jupyter Notebook 1

  5. siamese-neural-net siamese-neural-net Public

    Siamese neural network based on a pre-trained ResNet-18 convolutional neural network for image comparison.

    Python

  6. deep-hedging deep-hedging Public

    Jupyter Notebook 1 2