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30

Quantitative Developer

Ramify · Paris, Ile-de-France, France

Full-time Hybrid via WTTJ: backend engineer Paris

Description

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 degree (Bac +5) 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.

Why 30?

Each component's contribution, and the phrases that triggered it.

Location fit +25.0

paris · ile-de-france

Seniority fit +8.0
Engagement type +4.0
Compensation fit +3.0
Recency +0.26

posted 48 days ago

Red flags 0.0
Rails stack fit 0.0