Quant Research Analyst

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

Role Summary

The analyst will report to the head of Quant Research. He/she will work on large data sets using advanced statistical analysis as well as machine learning algorithms in his/her day-to-day job. A taste for data is key as well as solid experience in Python, and Statistics. We are looking for candidates with advanced skills, with an interest in research and in solving difficult questions in a challenging environment.

Key accountabilities

• 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

Your profile

• Top academic profile (University Master, PhD or Grande Ecole) in engineering, applied math or statistics.
• Between 6 months and 3 years of successful 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 and interest in trading will be 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.

Other

• Location Paris.
• Position open from January 2021.
• Existing team size 5 (4 Paris, 1 Oslo).
• Compensation upon profile.
• We favour candidates that are recommended by former managers.
• We will test selected candidates in each of their fields of expertise.

Euronext Values

Unity

• We respect and value the people we work with
• We are unified through a common purpose
• We embrace diversity and strive for inclusion

Integrity

• We value transparency, communicate honestly and share information openly
• We act with integrity in everything we do
• We don't hide our mistakes, and we learn from them

Agility

• We act with a sense of urgency and decisiveness
• We are adaptable, responsive and embrace change
• We take smart risks

Energy

• We are positively driven to make a difference and challenge the status quo
• We focus on and encourage personal leadership
• We motivate each other with our ambition

Accountability

• We deliver maximum value to our customers and stakeholders
• We take ownership and are accountable for the outcome
• We reward and celebrate performance

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.