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.