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Quantitative Developer

Ramify recrute !

À propos

Ramify is a rapidly growing fintech revolutionizing wealth management through cutting-edge technology and data-driven strategies. Our mission is to redefine premium wealth management for modern investors by offering a fully digital alternative to traditional private banking. We provide a diverse suite of investment solutions, delivering exposure to asset classes including equities, bonds, private equity, private debt, real estate, infrastructure, crypto-assets, structured products, and art — all accessible via an intuitive, fully digital platform.

In 2024, Ramify raised €11M to fuel our ambitious expansion, tripled assets under management, and doubled our client base, reflecting strong market confidence in our vision. Our Ramify team is seeking driven individuals who want to make a significant impact, move fast, and deliver transformative results in wealth management.

Descriptif du poste

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.

Profil recherché

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.

Informations complémentaires

  • Type de contrat : CDI
  • Lieu : Paris
  • Niveau d'études : Bac +5 / Master
  • Expérience : > 1 an
  • Télétravail partiel possible
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