Intern Researcher

Machinacap; Paris; Sur place; EUR 13 392 - 20 088; Plein temps

Résumé du poste

A systematic investment manager in Paris is seeking an Intern Researcher to join their research team. You will analyze data, assist in model optimization, and collaborate with experts to enhance investment strategies. Ideal candidates should have a strong academic background in quantitative fields, programming skills (Python or C#), and a keen interest in finance. This full-time position emphasizes teamwork and creativity while offering a dynamic working environment.

Qualifications

• Strong academic background in applied mathematics, statistics or related quantitative field.
• Experience or strong interest in programming, particularly in Python or C#.
• Solid understanding of probability, statistics, and data analysis techniques.

Responsabilités

• Analyze large datasets to uncover patterns for trading strategies.
• Assist in the design, backtesting, and optimization of investment models.
• Collaborate with researchers and managers to implement research ideas.

Connaissances

Programming in Python

Programming in C#

Data analysis techniques

Strong teamwork skills

Critical thinking

Formation

Degree in applied mathematics, statistics, or a related field

Description du poste

Location: Paris, France
Employment Type: Full-Time (min 6 months)

About Us: Machina Capital is a cutting-edge systematic investment manager, leveraging advanced technology to develop innovative financial strategies.

We focus on robust systems to support data-driven decision-making in a collaborative and dynamic environment.

Responsibilities

As an Intern Researcher, you will be part of our research and investment team, focusing on developing and enhancing systematic trading strategies. Your responsibilities will include:

• Analyzing large datasets to uncover patterns and insights that can inform trading strategies.
• Assisting in the design, backtesting, and optimization of systematic investment models.
• Exploring new data sources and integrating them into existing research workflows.
• Collaborating with quantitative researchers and portfolio managers to implement research ideas in production.
• Staying updated on the latest advancements in quantitative finance, data science, and machine learning to identify potential applications for our strategies.

Qualifications

• A strong academic background in applied mathematics, statistics or a related quantitative field.
• Experience or strong interest in programming, particularly in Python, C# or similar languages.
• A solid understanding of probability, statistics, and data analysis techniques.
• A passion for exploring complex modeling problems and solving them rigorously.
• Creativity, curiosity, and critical thinking (and ability to debate about any topic with team members during morning coffees)
• Strong teamwork and communication skills, with the ability to collaborate in a dynamic environment.
• Familiarity with financial markets or trading strategies is a plus, but not required.

Machina Capital is committed to fostering an inclusive workplace and is proud to be an equal opportunity employer.