Quantitative Developer

The Quantitative Investment Strategy (QIS) Team at Ramify is at the forefront of transforming wealth management through innovative, data-driven solutions. We build and maintain the quantitative infrastructure that powers our portfolio models, trading algorithms, and investment strategies across all asset classes.

Join Ramify’s QIS Team as a full-time Quantitative Developer in our Paris office (hybrid) and help shape the future of wealth management through code.

In this role, you will:

• Own and maintain the QIS lab — the internal environment where our strategies, algorithms, and portfolio models live and run.
• Implement and productionize quantitative strategies developed by the research team, ensuring reliability, performance, and scalability.
• Build and maintain the pipelines that run live portfolios — from data ingestion to execution and monitoring.
• Design and implement APIs and backend routes that expose QIS research and algorithms to the product team, enabling new features and tools across the platform.
• Collaborate closely with quant researchers and product teams to translate models and ideas into clean, production-ready code.
• Develop new tools and improve existing infrastructure to support research and production workflows.
• Monitor and maintain running algorithms, handle updates, and ensure continuity of live strategies.

We’re looking for people who:

• Want to make a difference. We are a small team effectively reshaping how people look at the industry. We need people who get it and want to play an integral part in helping us accomplish this mission.
• Are passionate about building things that work in production, not just in notebooks.
• Have a strong engineering mindset — you care about code quality, reliability, and maintainability.
• Are comfortable working at the intersection of quantitative research and software engineering.
• Can communicate clearly with both technical and non-technical stakeholders.

Skills we’re looking for:

• 1 to 3 years of full-time experience in a relevant quantitative or software engineering role.
• Master’s or Ph.D. in Computer Science, Applied Mathematics, Statistics, Data Science, or a closely related discipline.
• Strong Python skills — this is your primary language. You write clean, well-structured, production-ready code.
• Experience building and maintaining backend APIs and services.
• Solid understanding of software engineering best practices: version control, testing, CI/CD, modular architecture.
• Broad technical knowledge — comfortable across the stack when needed (APIs, databases, infrastructure basics).
• Familiarity with quantitative finance concepts and investment strategies.
• Excellent attention to detail and strong problem-solving ability.
• Bilingualism (French/English) considered an asset.

Nice-to-haves:

• Experience with financial data pipelines or portfolio management systems.
• Experience building or maintaining live trading or allocation systems.
• Some personal investing experience.