How do I apply for the Quantitative Research Internship position at STATION F and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at STATION F paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Quantitative Research Internship role?

This position is a not disclosed, structured as a hybrid role, with an expected duration of 3 months.

What educational background or degree level is required for the Quantitative Research Internship at STATION F?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does STATION F provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Quantitative Research Internship

STATION F

Found 3 months ago

Location

Paris, France

Duration (Months)

3 Months

Time

Not disclosed

Work Mode

Hybrid

Salary

Highly competitive salary

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

C++
Java
Python
Unix systems

Soft Skills

Very strong analytical skills
Great attention to detail
Pro-active
takes ownership
flexible
stress-resistant
Eagerness to continuously learn new technologies and develop with us

Job Description

Design, implement, and deploy trading algorithms Analyze large data sets using advanced statistical methods to identify trading opportunities Contribute to libraries of analytical computations to support market data analysis and trading Conduct post-trade analysis of trading strategies and algo performance risk mitigation strategies Develop a strong understanding of market structure of various exchanges and asset classes

Requirements

Pursuing a master’s degree in Physics, Mathematics, Computer Science, Econometrics, or equivalent
Very strong analytical skills
Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python)
Great attention to detail
Pro-active, takes ownership, flexible and stress-resistant
Knowledge of Unix systems is a plus
Eagerness to continuously learn new technologies and develop with us
No prior knowledge of finance and/or digital assets is necessary

Quantitative Finance

Quantitative Research

Nice to Haves

Knowledge of Unix systems is a plus

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12Open Positions

Open Positions

12Open Positions

Quantitative Research Internship

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Nice to Haves