Quantitative Expertise Beyond Industry Standards.
Academically Grounded. Industry Driven.
Quantitative Partners is a specialised advisory boutique, confidentially serving a selected and limited circle of financial consultancies, 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 research-driven enhancement of portfolio strategies and data-based models across the asset lifecycle in private and public markets. It closes a persistent gap between financial research and its practical application in the industry by translating the essence of academic innovation into robust, actionable building bricks of existing process landscapes. In doing so, it 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.
About Us
Who we are
Leonardo Cruciani, Physicist
Leonardo Cruciani is a doctoral researcher at the University of Luxembourg’s Finance Department with a focus on the application of large language models to private equity markets. Originally trained in physics and specialised in finance, he is experienced in the restructuring of data architectures, AI integration in valuation processes and the design of econometric tools and workflows.
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 with applications to public and private markets.
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 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.
David Sandoval Rodriguez, Mathematician
David Sandoval Rodriguez is a machine learning researcher 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 after gaining experience in data analysis and process automation within 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.