Aljosa Bilic

Aljosa Bilic

Zurich, Switzerland
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Aljosa Bilic

Aljosa Bilic

Zurich, Switzerland
Member since May 30, 2016
Aljosa is a data scientist and developer. He has more than six years of experience analyzing noisy data sets and building statistical/predictive machine learning models combined with designing and developing the decision support tools and web applications that provide support for the front-end.
Aljosa is now available for hire
Portfolio
Experience
  • Statistics, 8 years
  • Data Science, 7 years
  • SQL, 7 years
  • Python, 4 years
  • MATLAB, 4 years
  • Finance, 4 years
  • AngularJS, 3 years
  • Flask, 2 years
Zurich, Switzerland
Availability
Part-time
Preferred Environment
OS X, PyCharm, Git
The most amazing...
...app I've built is a commodity trading tool where I did the R&D of the price forward curve as well as built the back and front-end of the web interface.
Employment
  • Cofounder & CTO
    Klapp
    2016 - PRESENT
    • Cofounded a startup developing a web app (HTML/CSS/AngularJS) and a cross-platform mobile app (Ionic Framework).
    Technologies: Python, HTML, CSS, JavaScript
  • Quantitative Analyst
    MET International AG
    2013 - 2016
    • Created a web-based commodity trading interface on top of a forward price curve generation algorithm for the straight-through order placement and processing of natural gas deals using Python for the numerical computation, STP, and web back-end and HTML/Bootstrap/AngularJS for the front-end.
    • Developed a Monte Carlo-based method for the optimal pricing and hedging of natural gas storage and implemented it in Python (NumPy, Pandas).
    • Researched and developed a spread-based trading strategy on the German power markets and traded it live on the EEX.
    • Developed a detailed physical model for a natural-gas fired power plant and used it to derive optimal hedging and trading strategies.
    Technologies: Python, HTML, CSS, JavaScript
  • Quantitative Analyst
    swissQuant Group AG
    2010 - 2013
    • Developed a novel (non-heuristic) method for achieving higher asset diversification within the context of optimal portfolio construction and implemented it using MATLAB (computation) and Java (front-end).
    • Developed a method for optimal hedging of currency exposure using arbitrary linear and non-linear instruments (e.g. options), based on normal or non-normal underlying distribution assumptions, and implemented a prototype using MATLAB and Java.
    • Developed a method for tracking a non-investable insurance-linked securities index using a set of arbitrary investable products by modelling the index as a jump-diffusion process and minimising the CVaR of the performance difference.
    • Developed a method for hedging the future power generation of a wind farm connected to a liquid power market using liquid instruments.
    Technologies: MATLAB, Java
Experience
Skills
  • Languages
    SQL, Python, MATLAB, JavaScript, Java, HTML, LessCSS, SCSS, CSS, R, C#
  • Frameworks
    AngularJS, Flask, Ionic, Bootstrap
  • Misc
    Data Analysis, Data Science, Machine Learning, Bayesian statistics, Statistics, Finance, Neural Networks, Applied Mathematics, Trading, Options Theory, Probability theory, Operations Research, Optimization, Mathematics, Pattern recognition, Algorithmic Trading, Risk Management, Numerical Methods
  • Libraries/APIs
    Underscore.js
  • Storage
    MySQL, SQL Server, Oracle, MongoDB, NoSQL
  • Tools
    RabbitMQ, Sketch
Education
  • ERASMUS certificate in Statistics & Financial Mathematics
    ETH Z├╝rich - Zurich, Switzerland
    2009 - 2010
  • Master's degree in Engineering Physics
    Lund University, Faculty of Engineering LTH - Lund, Sweden
    2005 - 2010
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