About
Our story
As a commercial spin-off of the University of Luxembourg's quantitative finance program, Quantitative Partners is the primary access point for industry practitioners to profit from Luxembourg's academic networks.
Bringing together finance researchers and industry experts in econometrics and machine learning, QP draws on experience from institutions including ION, KPMG, J.P. Morgan Chase, Yandex, Tinkoff Bank, Stellantis, and global tech firms. With strong foundations in mathematics, physics, and economics applied to financial markets, we design advanced analytical building blocks and support their integration into end-to-end solutions in close cooperation with clients' operational teams.
Our work is grounded in rigorous empirical validation and pragmatic engineering, ensuring methods remain robust, interpretable, and maintainable in production. We also help translate research into scalable workflows, from data sourcing and model governance to implementation, testing, and ongoing monitoring within real-world constraints.
Our focus
Quantitative Partners puts rigorous quantitative expertise at the heart of value creation.
We support clients in the fields of portfolio calibration, valuation, strategic allocation, replication design, and the integration of AI and econometric tools into standardised workflows. Our work spans model development, data architecture, and automated analytical systems, ensuring that advice never remains idle theory but is operationally applicable within existing structures, making them fast, robust, precise, and scalable. Ultimately, our work is about delivering the decisive marginal edge to our clients, enabling the local financial ecosystem to exploit Luxembourg's academic networks and to compete with the world's leading markets.
Founding partners
Physicist
Leonardo Cruciani is a doctoral researcher at the University of Luxembourg's Finance Department and studies how large language models can be applied to private equity. He was trained in physics and specialised in finance. Across multiple projects, he restructured data architectures, integrated AI into valuation processes, and designed econometric tools.
lc@quantitativepartners.lu
Econometrician
Paul Klein is an econometrician and statistician working in Luxembourg's private equity sector, where he applies academic concepts to valuation and portfolio management. He graduated from three finance programs and specialises in quantitative modelling across public and private markets.
pk@quantitativepartners.lu
Machine Learning Engineer
Anton Makarov is pursuing a PhD at the University of Luxembourg on theoretical econometrics and its use in machine learning. He studied economics at Russia's most prestigious university and holds a degree in computer science. Beyond that, he has worked as a machine learning engineer and in automated trading.
am@quantitativepartners.lu
Mathematician
David Sandoval Rodriguez is a machine learning researcher at a consumer intelligence provider. He holds a degree in Pure Mathematics and contributed to AI projects in the R&D division of a global geomapping company, after earlier work in data analysis and process automation in the automotive industry.
dsr@quantitativepartners.lu