Quantitative Researcher | Phd Student | Cifre Doctorant
CurrentProjet de thèse: Modèle de causalité, apprentissage automatique et gestion d'actifs.
Sep 2023 - Present
AeroLeads people directory · profile
Mathis Guenet Email & Phone Number
Quantitative Researcher | Causal AI
at
SCALNYX
1 work email found
@scalnyx.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 86%
Current company
Role
Quantitative Researcher | Causal AI
Location
France, France, France
Company size
Who is Mathis Guenet? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Mathis Guenet is listed as Quantitative Researcher | Causal AI at SCALNYX, a company with 5 employees, based in France, France, France. AeroLeads shows a work email signal at scalnyx.com and a matched LinkedIn profile for Mathis Guenet.
Mathis Guenet previously worked as Quantitative Researcher | PhD Student | CIFRE Doctorant at Scalnyx and Quantitative Researcher | Datascientist at Scalnyx. Mathis Guenet studied at Arts Et Métiers Paristech - École Nationale Supérieure D'Arts Et Métiers.
Company email context
Email format at SCALNYX
This section adds company-level context without repeating Mathis Guenet's masked contact details.
{first}.{last}@scalnyx.com
89% confidence
AeroLeads found 1 current-domain work email signal for Mathis Guenet. Compare company email patterns before reaching out.
Profile bio
About Mathis Guenet
Mathis Guenet is a Quantitative Researcher | Causal AI at SCALNYX.
Current workplace
Mathis Guenet's current company
Company context helps verify the profile and gives searchers a useful next step.
Scalnyx
4 roles
Mathis Guenet work experience
A career timeline built from the work history available for this profile.
Quantitative Researcher | Datascientist
- Recherche et développement de l'IA causale pour l'optimisation de portefeuille d'investissement, l'aide à la décision et l'attribution de performance mêlant une approche quantitative et expert métier
Sep 2022 - Sep 2023
Quantitative Research Intern
- Recherche et développement d'indicateurs d'inversion au risque à partir de l'IA causale- Création de signaux de traiding prédictifs à partir d'indicateurs de risque obtenues par des modèles réseaux bayésiens causals permettant l'explicabilité des résultats tout en sur-performant les benchmarks-Développement en Python (sklearn, pyAgrum) d'une bibliothèque.
Feb 2022 - Aug 2022
Stagiaire Modélisation Alm
- Montrer la pertinence et la cohérence du modèle d'écoulement déjà existant des dépôts à vue (DAV)- Implémentation en Excel/VBA de ce modèle sur plusieurs DAV européens afin d'y obtenir un benchmark- Développement en Python (statsmodel) d'un outil pour calibrer des nouveaux modèles basés sur des processsus (stochastiques, sarimax, lissage exponentionel).
Apr 2021 - Aug 2021
3 education records
Mathis Guenet education
Master Of Engineering - Meng, Financial Engineering
Education record
FAQ
Frequently asked questions about Mathis Guenet
Quick answers generated from the profile data available on this page.
What company does Mathis Guenet work for?
Mathis Guenet works for SCALNYX.
What is Mathis Guenet's role at SCALNYX?
Mathis Guenet is listed as Quantitative Researcher | Causal AI at SCALNYX.
What is Mathis Guenet's email address?
AeroLeads has found 1 work email signal at @scalnyx.com for Mathis Guenet at SCALNYX.
Where is Mathis Guenet based?
Mathis Guenet is based in France, France, France while working with SCALNYX.
What companies has Mathis Guenet worked for?
Mathis Guenet has worked for Scalnyx and Groupe Crédit Agricole.
Who are Mathis Guenet's colleagues at SCALNYX?
Mathis Guenet's colleagues at SCALNYX include Antoine Levy and Charbel Tabet.
How can I contact Mathis Guenet?
You can use AeroLeads to view verified contact signals for Mathis Guenet at SCALNYX, including work email, phone, and LinkedIn data when available.
What schools did Mathis Guenet attend?
Mathis Guenet studied at Arts Et Métiers Paristech - École Nationale Supérieure D'Arts Et Métiers.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial