Nikolas Vasilas is a Quantitative Researcher at Ultramarin, where they develop stock selection models and signal identification methods in Python. They completed a Doctor of Philosophy in Finance at Lancaster University, where they also served as a Doctoral Associate Researcher from 2018 to 2024. Prior to their current role, Nikolas gained experience as a Summer Finance Intern at Haifa Southeast Europe and was involved in quantitative equity research at Robeco in 2023. They hold a Master’s degree in Advanced Financial Analysis with Distinction and a Bachelor’s degree in Accounting and Finance with First-Class honors, both from Lancaster University.
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