We are a dynamic team that never stops learning and discovering. Our continuous growth has been driven by the exceptional talent of every individual that has joined our team. Do you feel like a perfect fit? MDOTM is the right place for you.
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At MDOTM everyone leads by example, thinks big, and most importantly, never quits! These are just some of our core values that we apply every day to our work.
We take ownership, set high standards, and inspire others through our actions.
We challenge limits, explore bold ideas, and continuously seek smarter ways to do our job.
We stay focused, adapt to challenges, and keep pushing forward until we achieve results.
We support our exceptional team by making every team member actively involved, no matter their experience, or role. From flexible remote work conditions, to wonderful company gatherings insideand outside the office, don’t miss out on a rewarding and unique work environment!

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The MDOTM LAB is a core part of our R&D department, the place where our approach, rooted in the scientific method, meets the latest breakthroughs in the field of Behavioral Finance, Portfolio Management, and AI. We believe that solving hard problems requires to bridge the gap between economic theory and real-world practice. For that reason, we collaborate with University Professors, brilliant Ph.D. and master’s students to establish the real financial significance of the statistical research findings.
During their time at the LAB, students will join one of our research projects and work in multi-disciplinary teams of 4-6 people, supported by our R&D team composed of Financial Professionals, AI experts, and Data Scientists. They will have the chance to write their final dissertation in a stimulating environment, as well as developing valuable technical skills essential for their future professional careers.


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Below you find our job openings between the London, New York and Milan offices.
Looking to learn more? Contact us at hr@mdotm.eu
We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity.
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