Quant Research Analyst: AI Models & Data Innovation

hrhub; Paris; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Euronext is seeking a Quant Research Analyst in Paris to develop advanced data products and custom data models using Python, statistics, and ML techniques. You will work on large datasets, preprocess data, and collaborate with IT and other teams to deploy research in production environments.

The role requires a top academic background (Master/PhD or Grande Ecole) in engineering, applied math or statistics, 6 months to 3 years of Quant experience, SQL proficiency, and strong analytical skills.

Qualifications

• Top academic profile (University Master, PhD or Grande Ecole) in engineering, applied math or statistics.
• 6 months to 3 years of Quant work experience using Python to manipulate large data sets with practical research and modelling.
• Experience in querying databases using SQL.
• Solid knowledge of statistics and advanced machine learning.
• Strong command of Python and data analysis packages.
• Highly rigorous and research oriented.
• Curiosity about trading is necessary.
• Prior experience in market microstructure and high frequency data is preferable but not compulsory.
• Fluency in English is needed, an intermediate level in French is preferable.

Responsabilités

• Develop new advanced data products
• Develop custom data models and AI algorithms to apply to data sets.
• Undertake pre-processing of structured and unstructured data.
• Collaborate with other teams to conduct research and help put in place production processes with IT

Connaissances

Python

SQL

Statistics

Machine Learning

Data Analysis

Research

English

French (intermediate)

Formation

Master/PhD in engineering or statistics

Description du poste

Euronext is seeking a Quant Research Analyst in Paris to develop advanced data products and custom data models using Python, statistics, and ML techniques. You will work on large datasets, preprocess data, and collaborate with IT and other teams to deploy research in production environments.

The role requires a top academic background (Master/PhD or Grande Ecole) in engineering, applied math or statistics, 6 months to 3 years of Quant experience, SQL proficiency, and strong analytical skills.