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, Real Estate Novelist
Paul is a real estate novelist, who never had time for a wife. He is talking to David, who's still in the Navy, and probably will be for life.
David Sandoval Rodriguez, in the Navy
Will probably be in the Navy for life
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.