INTERNSHIP - QUANTITATIVE ANALYST - 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

DETAILS

• Role: Quantitative analyst intern
• Department : ETF One
• Duration : 6 months
• Start date : asap
• Location : Paris

KEPLER CHEUVREUX

Kepler Cheuvreux is a leading independent European financial services company that specialises in Research, Execution, Fixed Income and Credit, Listed Derivatives, Structured Solutions, Corporate Finance, and Asset Management.

The Group employs around 650 people and is present in 14 major financial centres in Europe, the US and the Middle East: Amsterdam, Brussels, Dubai (DIFC), Frankfurt, Geneva, London, Madrid, Milan, New York, Oslo, Paris, Stockholm, Warsaw, and Zurich.

GROUP KEY FIGURES

• 1st independent European equity broker.
• 1st Equity Research coverage in Continental Europe.
• 1st Country Broker and Research (Extel 2026).
• “World’s Best Broker” (Euromoney Capital Markets Awards 2025).
• 14 major financial centres in Europe, US and the Middle East.
• +650 employees.
• +1'300 institutional clients.
• EUR15bn of assets under management as of end-May 2026

ETF ONE

Designed as a true one-stop shop, ETF One combines ETF Data services, ETF Research & Advisory, and ETF Execution within a single, coherent platform.

ETF One is supported by dedicated expert teams across each capability, providing seamless access to best-in-class tools, ideas, and services throughout the ETF investment lifecycle, while ensuring depth of expertise and operational consistency.

YOUR TASKS

As part of the Kepler Cheuvreux Advisory & Research on ETF (KCARE) division, you will join the quantitative team dedicated to expanding the Group’s ETF advisory offering. You will contribute to the development of quantitative and machine-learning methodologies, enhance internal analytics tools, and support both client advisory and commercial activities.

YOUR PRIMARY RESPONSIBILITIES

• Work closely with ETF Sales to understand, analyze, and address client requests.
• Deliver tailored quantitative analyses, backtests, and recommendations.
• Contribute to bespoke ETF selection and investment solutions for institutional clients.

QUANTITATIVE & MACHINE LEARNING RESEARCH

• Develop and enhance a quantitative ETF rating framework, combining multiple dimensions such as performance, risk, liquidity, costs, portfolio characteristics, and other relevant factors.
• Develop ETF peer-grouping methodologies using clustering and other machine-learning techniques to identify meaningful groups of comparable products.
• Design and improve ETF similarity algorithms to identify the most relevant comparable ETFs based on portfolio exposures, investment characteristics, and client-defined constraints.
• Explore additional machine-learning applications to improve ETF analysis, classification, and selection.

PROGRAMMING & AUTOMATION

• Build internal packages and tools for ETF selection, analytics, and backtesting.
• Automate internal processes to maximize time spent on high-value qualitative analysis.

ANALYTICS TOOL ENHANCEMENT

• Contribute to the continuous improvement of the team's ETF analytics platform and quantitative tools.
• Translate quantitative and machine-learning research into practical tools that can be used by Sales and Advisory teams.

YOUR PROFILE & SKILLS

We are looking for a rigorous, analytical, and motivated individual with a strong interest in ETFs and financial markets.

• A 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.
• Strong problem-solving abilities and a proactive mindset.
• Proficiency in Python (required).

RECRUITMENT PROCESS

Between 2 and 3 rounds of interviews: both fit and technical questions.

You will need a flexible and creative approach in order to flourish in our international environment and succeed with our diverse client base.

Please note that Kepler Cheuvreux promotes equal opportunity. All applications will be given due consideration.