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 looking for a Quantitative Data Scientist to join our Research and Development Team in Milan. This is a critical, high-impact hire designed to be the bridge between complex quantitative modeling and real-world financial application.
The ideal candidate combines a strong financial intuition with a "hands-on" attitude. You will be responsible for translating business needs into technical solutions, ensuring our investment strategies are robust, scalable, and aligned with client expectations. You will serve as a key integrator across research, and investment functions, bringing order to innovation.
Key Responsibilities
- Critically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks.
- Translate research signals into actionable investment strategies and portfolio construction frameworks.
- Collaborate with ML researchers to refine models, incorporating financial domain expertise and contributing to model design where needed.
- Design, prototype, and scale quantitative models using Python and Java, maintaining a high standard for code quality and modularity.
- Contribute to the financial validation layer of the R&D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement.
- Translate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution.
- Collaborate across technical workstreams to ensure research outputs are aligned with investment objectives and successfully integrated into production workflows.
Required Skills & Qualifications
- Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.
- Understanding of portfolio construction, asset allocation, and risk management
- Solid Python/Java programming skills, with experience in financial modeling, data analysis, and working with ML-driven workflows.
- Experience interpreting, validating, or stress-testing quantitative or machine learning models (e.g., backtesting, scenario analysis, or model diagnostics).
- Ability to bridge finance and technology: translate investment concepts into technical requirements and challenge model outputs using real-world financial intuition.
- Strong analytical mindset with the ability to communicate complex quantitative insights clearly to both technical and business stakeholders.
- Fluent in English (written and spoken).
Nice to Have (Bonus Skills)
- Solid understanding of Git-based workflows (branching, code reviews, version control) in collaborative research or production environments.
- Experience leveraging LLMs and AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate prototyping, refactor code, and optimize algorithmic performance.
- Proven ability to thrive in high-pressure, collaborative environments, delivering precise results under tight market-driven or project deadlines
Why Join Us?
- Take on a high-impact role where you translate cutting-edge ML research into actionable, real-world investment strategies and portfolio frameworks.
- 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
What We Do
MDOTM Ltd. is the global provider of AI-driven investment solutions for Banks, Insurance Companies, Family Offices, Pension Funds, Wealth and Asset Managers. We believe that combining scientific reasoning with state-of-the-art AI is the key to navigate the increasing complexity of financial markets. Our proprietary AI engine exploits changes in market inertia and risk premia, using deep learning techniques to continuously analyse millions of market data points. With our AI, we construct efficient and diversified portfolios and support institutional investors in their investment decision-making. Founded in London by Tommaso Migliore and Federico Mazzorin, MDOTM Ltd. now employs over 50 people among physicists, engineers, AI and finance experts. The MDOTM LAB, our international network of universities and academic thought-leaders, collaborates with top universities and has over 60 external researchers, including professors and graduate students in economics, data science and financial engineering. MDOTM Ltd. was the only Fintech selected for the acceleration programme powered by Google for Entrepreneurs in Silicon Valley and it has been the first AI-Driven Advisor to sign the UN-sponsored Principles for Responsible Investment, joining the international network of institutional investors committed to including ESG criteria in their investment process. In 2022, MDOTM Ltd. was nominated as one of the world's top AI companies by Fintech Global. MDOTM Ltd. (FRN: 824056) is an appointed representative of Thornbridge Investment Management LLP (FRN: 713859), which is authorised and regulated by the Financial Conduct Authority
