S i l e x technologies

Research & development

THE R&D DEPARTMENT

Initially located at the Ecole Polytechnique Paris (X) engineering school campus,
S I L E X Technologies is the R&D department of S I L E X.

Silex
DOCTORS & QUANTS
SCIENTIFIC RESEARCH
DEPARTMENT
Led by
Dr. Frank Génot
(INRIA, MIT)
and Fabrice Rey (X)
107 data processed
each day
machine learning
Incubated at
polytechnique
engineering
school’s laboratory
Data science
language
Development: R
Algorithms Optimization
THROUGH
clustering/Min. Var.
& Risk Parity

This department develops digital tools for asset allocation,
portfolio optimisation along with quantitative models
designed for asset management.

a diversified R&D department

To meet our partner’s needs and constraints, the R&D department constantly produces investment tools and strategies on S P A R K.

We invest time and energy as well as a significant percentage of our revenue in developing our team and technology, working to increasingly higher standards.

Data scientists build and populate our proprietary and validated databases
Data scientists
Researchers are our connection to the academic world, publishing our research work on allocation and risk management
Researchers
Quantitative engineers implement new allocation models and tools within our digital platform, S P A R K
Quantitative Engineers