Intern - Quantitative Data Engineer

Intern Quantitative Data Engineer

Build the future with us. Are you driven by analytics-based investment decision-making and digital transformation and eager to contribute to the purpose of a company that aims to help its clients feel confident and secure about their future? As an Intern - Quantitative Data Engineer, you will play a key role in building AI-ready analytical data products and modern analytics foundations that support investment decision-making within iA Global Asset Management.

This position is a great opportunity to showcase your skills and fully realize your potential within a caring and trustworthy company. Here, people and their development are at the heart of our priorities, fostering an environment that encourages collaboration and innovation.

Alongside developing your engineering skills, this internship also gives you exposure to investment data and core analytical concepts, helping you understand how technical solutions support areas like performance, attribution, and front office workflows. By building awareness of the financial domain while working with modern cloud-native tools, you’ll help the team deliver reliable, high-quality datasets that investment professionals can use in their decision-making.

Data Science Team Overview

The Data Science function within iA Global Asset Management (iAGAM) is a key driver of strategic transformation across Investments, contributing directly to iAGAM’s 2030 vision and the Scalable Systems and Analytics strategic pillar.

• Digital Transformation: That team leads the analytics transformation by providing cloud-based tools to front office desks while modernizing the core data and analytics foundations.
• AI Enablement: Cross-functional initiative focused on enablement and acceleration of AI adoption, with an emphasis on investments use cases.

What You Will Accomplish With Us

As an Intern - Quantitative Data Engineer, you will be at the core of our mission. Here are the main responsibilities:

• Assist in validating, cleaning, and developing key datasets such as trade lifecycle data, market data, and financial models.
• Help develop and test data pipelines to ensure consistent and validated analytical output.
• Support the automation of data validation, quality checks, and reconciliation processes.
• Collaborate with data scientists and analysts to understand data requirements and analytical needs.
• Participate in the development of dashboards and visualizations using tools such as Power BI and Streamlit.
• Contribute to the evolution of the team’s technical stack using cloud-native tools such as Google Cloud Platform (BigQuery, Cloud Storage) and orchestration tools like Prefect.
• Contribute to documentation efforts and support data governance initiatives.
• Engage in team learning sessions and apply data engineering best practices under guidance.

What Could Accelerate Your Success In This Role

We are looking for someone who:

• Is currently pursuing a bachelor’s or master’s degree in computer science, Data Engineering, Finance, Mathematics, or a related field.
• Is recognized for their strong analytical and problem-solving skills.
• Stands out for their curiosity, adaptability, and eagerness to learn.
• Demonstrates solid foundations in Python and SQL through coursework or academic projects.
• Is known for their ability to collaborate effectively and communicate clearly with technical and non-technical stakeholders.
• Has an advanced level of proficiency in French, as the person will be required to communicate verbally and in writing with unilingual French-speaking colleagues on a daily basis.
• Has an advanced level of proficiency in English, as the person will be required to communicate verbally and in writing with unilingual English-speaking colleagues on a daily basis.
• Understands database concepts, data modeling fundamentals, and exposure to financial datasets such as market data or trade lifecycle data.

Why you will love working with us

A work environment where learning and development merge with a collective pursuit of excellence. A healthy, safe, fair, and inclusive environment where potential can be freely expressed and developed. The possibility to work in a hybrid environment supported by flexibility and access to inspiring, innovative workspaces. Student benefits: Access to internal training, mentoring, involvement in real projects, flexible schedules adapted to studies, and a rewarding experience for your professional journey.

Apply now and get ahead of your career, where your talent really belongs!

Still unsure about applying?

At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply – your place might be with us, and we want to get to know you!

Key skills/competency

• Data Engineering
• Python
• SQL
• Google Cloud Platform
• BigQuery
• Data Pipelines
• Data Validation
• Data Governance
• Financial Data
• Problem-solving