OCaml Software Engineer - Fintech, Paris

LexiFi

Paris

Hybride

EUR 55 000 - 75 000

Plein temps

14 jours+
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Résumé du poste

A leading fintech company is seeking a full-time Software Engineer to join its core development team in Paris. You'll implement and evolve core products using OCaml, collaborating with quantitative engineers and contributing to cloud-hosted projects. Ideal candidates will have strong software engineering experience and a background in algorithms and data structures. The role offers a hybrid work model, allowing up to 2 remote days per week while working in a high-caliber engineering culture that values R&D and code quality.

Qualifications

  • Strong software engineering experience, either professional or significant open-source work.
  • Solid foundations in algorithms, data structures, and software design.
  • Collaborative mindset with clear communication and problem-solving approach.
  • Interest or experience in financial markets.
  • This is a full-time role based in Paris at LexiFi’s headquarters.
  • Hybrid work model — up to 2 remote days per week.

Responsabilités

  • Implement new features across the stack (UI, APIs, services) in OCaml.
  • Develop services and libraries that power complex financial workflows.
  • Improve testing, performance, and developer experience.
  • Collaborate with quantitative engineers on models and data pipelines.
  • Contribute to deployment and operational excellence.

Connaissances

Software engineering experience
Exposure to OCaml
Solid foundations in algorithms
Collaborative mindset
Interest in financial markets

Formation

Degree in computer science or mathematics

Outils

OCaml
Cloud or DevOps practices

Description du poste

A leading fintech company is seeking a full-time Software Engineer to join its core development team in Paris. You'll implement and evolve core products using OCaml, collaborating with quantitative engineers and contributing to cloud-hosted projects. Ideal candidates will have strong software engineering experience and a background in algorithms and data structures. The role offers a hybrid work model, allowing up to 2 remote days per week while working in a high-caliber engineering culture that values R&D and code quality.
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