Claire Schmit
Chief Executive Officer · MSc Quantitative Finance
Product strategy & institutional delivery
Team
Specialists across quant finance and technical delivery.
Our roles cover training design, quantitative methods, research software, automation systems, web and desktop apps, Python development and institutional programme delivery.
Alexandre Muller
Director, Quant Finance Training · PhD Financial Mathematics
Training frameworks & applied methods
Sophie Weber
Research Software Lead · PhD Computational Finance
Research software & model infrastructure
Tom Hoffmann
Automation Systems Lead · MSc Data Engineering
Workflow automation & data pipelines
Nadine Thill
Web & Desktop Apps Lead · MSc Software Engineering
Product systems & user experience
Patrick Bintz
Applied Python Lead · MSc Computer Science
Python packages & technical integrations
Anne Kieffer
Institutional Programmes Director · MSc Programme Management
Institutions & university programmes
Ali Azary
Developer, Author, Editor · MSc Finance & Economics
Authorship, platform development, client communications, editorial delivery & final manuscript approval
Max Schmit
Quantitative Research Lead · PhD Applied Mathematics
Models, methods & validation
Core capabilities
The expertise behind the product range.
Each discipline connects directly to a PyQuantLab product category and to the needs of institutions, universities, educational institutions and individual practitioners.
01
Quantitative methods
Models, data, risk, portfolio methods and quantitative analysis.
02
Professional training
Structured material, applied labs and implementation frameworks.
03
Research software
Web apps, desktop systems and research workflow tooling.
04
Automation & code
Workflow automations, data pipelines and applied Python packages.
Working model
Rigorous methods. Practical systems.
PyQuantLab brings quantitative finance and implementation together through Bundles, research software, workflow automations and applied code packages.