Data Scientist

About MDOTM MDOTM is the Global leader in AI-driven investment solutions . ​​Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by Google for its acceleration program in Silicon Valley. Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York. If you are looking for a fast-paced environment and you are willing to take ownership, this is the right opportunity for you! Join us! Role Overview We are seeking a Data Scientist to join our Research and Development Team in Milan. This role is designed for someone who thrives at the intersection of advanced mathematics, machine learning, and scalable coding. Working within a collaborative team of scientists and engineers, you will focus on developing the AI models that are at the core of everything we do. You’ll be joining a mission where we have been pioneering and evolving these proprietary models for more than a decade , driving the innovation that powers our fintech solutions. Whether you are a seasoned researcher or a brilliant profile with a passion for AI, your contribution will directly impact our investment strategies and internal modeling tools. We are looking for a creative problem solver who thrives on technical challenges. You don't necessarily need to be a finance expert, but you must be curious enough to master how financial data behaves. Key Responsibilities Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets, leveraging modern techniques such as large language models (LLMs), statistical modeling, and probabilistic methods. This includes proficiency in integrating LLMs into research workflows and orchestrating data pipelines. Formulate hypotheses, identify intermediate milestones, and meet deadlines for long-term ambitious research goals. Own the full model lifecycle, from data selection and representation to deployment and performance tuning. Develop and execute rigorous validation frameworks (e.g., backtesting, walk-forward analysis) to ensure robustness and statistical reliability. Conduct in-depth research by formulating testable hypotheses and driving progress toward long-term R&D goals. Build and maintain automated systems to monitor data quality, model health, and detect drift or instability. Collaborate with other technical teams to ensure seamless integration between data pipelines and modeling logic. Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process Apply "divergent thinking" to overcome technical bottlenecks and optimize data retrieval and processing workflows. Required Skills & Qualifications Degree in Mathematics, Physics, Machine Learning, Computer Science, or other quantitative fields. Python skills are required to independently design and implement solutions. Experience using LLMs to accelerate development is welcome, alongside critical thinking to rigorously test and validate generated code for correctness and robustness. Strong grasp of programming logic and software development principles. Experience with statistical modeling and techniques such as bagging, random forests, hyperparameter optimization, time series analysis, and signal processing. The ability to approach problems from different angles and find creative, efficient solutions. Fluent in English (both spoken and written). Nice to Have (Bonus Skills) Professional experience or proficiency in Java. Ability to understand financial data concepts (prices, yields, corporate actions) to ensure technical structures align with financial reality. Experience with SQL/NoSQL databases. Why Join Us? Work at the intersection of advanced mathematics and machine learning, developing proprietary AI models that have driven our innovation for over a decade. Competitive salary & truly flexible work environment Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York Annual company retreat at a stunning location Fast-track career progression, with opportunities to grow into leadership roles