ETF Quant Analyst Intern — ML & Python (Paris)

Kepler Cheuvreux; Paris; Sur place; EUR 15 000 - 23 000; Plein temps

Résumé du poste

Kepler Cheuvreux invites a Quantitative Analyst Intern to join the ETF One team in Paris. You will help develop quantitative and machine-learning methodologies, enhance internal analytics tools, and support client advisory and commercial activities.

You will work on ETF rating frameworks, clustering for peers, similarity algorithms, and automation of internal processes to maximize the value of qualitative insights for sales and advisory teams.

Qualifications

• Degree from a top engineering or computer science school, or a top-ranked university.
• Excellent communication skills in both English and French.
• Strong client orientation and interpersonal skills.
• High attention to detail and an analytical mindset.
• Ability to work independently as well as within a team.

Responsabilités

• Collaborate with ETF Sales to understand and address client requests.
• Deliver tailored quantitative analyses, backtests, and recommendations.
• Contribute to bespoke ETF selection and investment solutions for institutional clients.
• Develop and enhance a quantitative ETF rating framework using performance, risk, liquidity, costs, and portfolio characteristics.
• Design ETF peer-grouping methodologies using clustering and ML techniques.

Connaissances

Python

English

French

Analytical mindset

Problem solving

Independent working

Formation

Engineering or CS degree

Outils

Backtesting

Description du poste

Kepler Cheuvreux invites a Quantitative Analyst Intern to join the ETF One team in Paris. You will help develop quantitative and machine-learning methodologies, enhance internal analytics tools, and support client advisory and commercial activities.

You will work on ETF rating frameworks, clustering for peers, similarity algorithms, and automation of internal processes to maximize the value of qualitative insights for sales and advisory teams.