Quantitative expertise beyond industry standards.
Who we are
Quantitative Partners is a specialised consulting firm, serving a selected and limited circle of financial institutions, NGOs and family offices in Luxembourg. Founded by graduates from the University of Luxembourg’s most advanced programme in quantitative finance, its core competency lies in the quantitative enhancement of portfolio strategies and data-based models across the asset lifecycle in private and public markets. It closes a persistent gap between academic research and its practical application in the investment industry and grants its clients access to cutting-edge concepts which often remain exclusive to top financial firms with dedicated quantitative divisions. This ambition is also reflected in the diverse academic and professional backgrounds of the four founding partners.
Leonardo Cruciani, Physicist
Leonardo Cruciani is a PhD candidate in the University of Luxembourg’s Finance Department with a research focus on the use of large language models in private equity. Originally trained in physics and specialised in finance, he is experienced in the restructuring of data architectures and AI integration in trading processes and the design of econometric tools and workflows.
Anton Makarov, Machine Learning Engineer
Anton Makarov is pursuing a PhD at the University of Luxembourg on theoretical econometrics and their use in machine learning applications. He studied theoretical economics at Russia's most prestigious university and holds a degree in computer science. His practical experience stretches from machine learning engineering to automated trading.
Paul Klein, Econometrician
Paul Klein is an econometrician and statistician in Luxembourg's private equity sector and experienced in applying academic concepts to valuation and portfolio management processes. He completed three finance programs as valedictorian and specialised in quantitative modelling and econometrics with applications to public and private markets.
David Sandoval Rodriguez, Mathematician
David Sandoval-Rodriguez is a machine-learning researcher and econometrician at a consumer intelligence provider. He earned a degree in Pure Mathematics and contributed to AI integration projects in the R&D division of a global geomapping company and data analysis and process automation project in the automative industry.
What we do
01
Review &
Analysis
QP conducts rigorous evaluations of existing structures, models, and workflows, identifying conceptual weaknesses and quantitative blind spots that conventional consultancies routinely overlook.
02
Model Design &
Implementation
QP architects and implements advanced econometric and machine learning models that materially enhance decision quality, integrating academic-grade methods into practical, robust investment processes.
03
Research &
Development
QP supports and augments internal research initiatives by designing bespoke analytical frameworks, building high-fidelity market and database studies, and translating frontier academic insights into actionable intelligence.