Tomas Señaris

Tomas is a Quantitative Analyst at MJ Hudson.

Tomas' main purpose is the development of automated risk analysis and reporting. This includes:

• Onboarding of new accounts
• Automatization of data extraction from clients
• Automatization of periodic risk analysis
• Coding of new functionalities and reporting parts

Experience

Tomas worked in Nielsen Holdings as a Modelling Analyst developing marketing mix models and in Santander Bank as a Risk Data Scientist creating analytics solutions and credit risk models using both statistical and machine learning techniques.

Qualifications

• BA in Economics, University of Buenos Aires
• MSc in Data Science, Austral University
• MSc in Finance, Barcelona School of Economics

Expertise

Investment Restriction Monitoring

Investment Risk Reporting

Liquidity Stress Testing

Private Asset Risk Reporting

Regulatory Reporting (UCITS, Annex IV, PRIIPs)

Interests

Tomas enjoys playing football, travelling and having asados.