Kevin is an ambitious and enthusiastic quantitative analyst with extensive knowledge and experience in programming and big data. Due to his experience in the field of financial mathematics, in combination with his academic background, he is well able to offer creative solutions. What characterizes him, in particular, is that he always approaches issues from different perspectives. He is highly analytical and has a passion for machine learning and its applications in finance and investments.
For his Master’s in Business Analytics, he wrote his thesis in the field of quantitative investing with a focus on quantifying the value of alternative data. Within Probability and Partners, Kevin is testing different trading strategies using our Probability Sentiment Indicators. He started building technical expertise in derivative pricing, stochastic modelling, financial mathematics, quantitative risk management, machine learning, data mining, and predictive modeling.