Aljosa Bilic, Statistics Developer in Zürich, Switzerland
Aljosa Bilic

Statistics Developer in Zürich, Switzerland

Member since August 8, 2016
Aljosa is a data scientist and developer who has more than eight years of experience building statistical/predictive machine learning models, analyzing noisy data sets, and designing and developing decision support tools and services. He joined Toptal because freelancing intrigues him, and the best projects and people are to be found here.
Aljosa is now available for hire


  • Ava AG
    Amazon Web Services (AWS), TensorFlow, Scikit-learn, Python
  • Klapp
    Ionic, AngularJS, JavaScript, CSS, HTML, Python
  • Swiss Re
    Spark, R, Python



Zürich, Switzerland



Preferred Environment

Git, PyCharm, Jupyter, Python, OS X

The most amazing...

...project I've worked on is a statistical/ML based flight delay insurance pricing engine.


  • Senior Data Scientist

    2018 - PRESENT
    Ava AG
    • Led the data science contribution to a novel product for detecting pregnancy anomalies, additionally resulting in a new patent application.
    • Developed a sleep stage classification algorithm based on physiological data.
    • Performed user data mining for new insights and scientific publications.
    Technologies: Amazon Web Services (AWS), TensorFlow, Scikit-learn, Python
  • Co-founder | CTO

    2016 - PRESENT
    • Acted as the co-founder and CTO of an edtech startup developing a parent-teacher communication platform.
    Technologies: Ionic, AngularJS, JavaScript, CSS, HTML, Python
  • Data Scientist

    2016 - 2018
    Swiss Re
    • Developed the weather model for a statistical/ML based flight delay insurance pricing engine.
    • Built a probabilistic global tsunami risk model.
    • Created an ML-based predictive model for insurance premiums and claims.
    Technologies: Spark, R, Python
  • Quantitative Analyst

    2013 - 2016
    MET International AG
    • 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, and 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: Pandas, NumPy, JavaScript, CSS, HTML, Python
  • Quantitative Analyst

    2010 - 2013
    swissQuant Group AG
    • 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).
    • Wrote 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.
    • Created a method for tracking a non-investable insurance-linked securities index using a set of arbitrary investable products by modeling the index as a jump-diffusion process and minimizing 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: Java, MATLAB



  • Languages

    Python, R, HTML, JavaScript, SQL, Java, Less, C#, CSS, SCSS
  • Frameworks

    Flask, Ionic, Bootstrap, AngularJS, Spark
  • Libraries/APIs

    Scikit-learn, Pandas, Underscore.js, Keras, Spark ML, Dask, NumPy, TensorFlow, Vue
  • Tools

    MATLAB, Jupyter, Tableau, PyCharm, Git, Sketch, RabbitMQ
  • Paradigms

    DevOps, Data Science
  • Industry Expertise

    Banking & Finance
  • Other

    Software Development, Machine Learning, Risk Management, Algorithmic Trading, Trading, Data Analysis, Neural Networks, Optimization, Statistics, Bayesian Statistics, Data Engineering, Data Modeling, Front-end Development, Airbnb, Data Modeling Expert, Mathematics, Applied Mathematics, Operations Research, Probability Theory, Numerical Methods, Options Theory, Pattern Recognition
  • Platforms

    Oracle, OS X, Amazon Web Services (AWS), Azure
  • Storage

    NoSQL, MySQL, Microsoft SQL Server, MongoDB, Amazon S3 (AWS S3)


  • Erasmus Certificate in Statistics and Financial Mathematics
    2009 - 2010
    ETH Zürich - Zurich, Switzerland
  • Master's Degree in Engineering Physics
    2005 - 2010
    Lund University, Faculty of Engineering LTH - Lund, Sweden

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