Skills

Communication Python Research Machine Learning git Organization Software Development Agile Analytics Mathematics

Job Specifications

If "There is a way to do it better — find it." — Thomas Edison

This Evarinvest Motto will help you navigate your internship with us and contribute to our innovations.

If you’re fond of coding, Quantitative Finance, Equity Derivatives and Machine Learning, your mission will be to contribute to enhance our systematic cross assets macro, improve our volatility models and platform using ODTE options, and expand our equity models using, among others, state-of-the-art ML/AI methods.

About EvarInvest

EvarInvest is an innovative boutique investment management firm dedicated to delivering sophisticated quantitative investment solutions to institutional clients. Our distinctive approach draws inspiration from physics, seamlessly integrated with our deep derivatives expertise to generate resilient performance across market cycles.

Your Impact

As a Quantitative Researcher/Developer Intern, you will play a pivotal role in enhancing our analytics ecosystem. You'll collaborate directly with our portfolio managers and research team to:

- Design and implement robust data pipelines

- Create sophisticated analytics and backtesting frameworks for systematic trading strategies

- Optimize our existing infrastructure to expand functionality and performance

Working within our collaborative environment, you'll engage in daily discussions about investment hypotheses, implementation approaches, and results analysis. This position offers exposure to the complete investment lifecycle—from data acquisition and processing to strategy development and deployment.

In our lean, agile organization, your contributions will have immediate visibility and meaningful impact across multiple projects and initiatives.

Qualifications

Master's degree (M2) candidate in Quantitative Finance, Computer Science, Applied Mathematics, Engineering, Machine Learning, or Physics from a leading institution.

Solid understanding of financial markets with emphasis on derivative instruments

Experience with quantitative strategies development, statistical trading methodologies, risk analytics, and portfolio construction techniques

Familiarity applying signal processing and machine learning algorithms to investment strategies

Strong proficiency in Python with demonstrated expertise in software development best practices (Git, containerization, MLOps)

Excellent communication skills with the ability to articulate complex concepts clearly

Fluency in French required

Details

Location: Paris office (7th arrondissement, near Invalides)

Duration: 6 months

Application: Only via submitting your resume and a brief cover letter to stages@evarinvest.com – Linkedin messages / connections requests or applications may not be read