Quantitative Python Developer
Tecnologia
Há 1 semanasAté 25/05/2026
Descrição da vaga
Actus provides a highly customizable platform for core (re-)insurance processes, including loss modeling, pricing, and capital modeling—all developed entirely with Solveva IP. The Actus ecosystem is built using TypeScript technologies—React, Node.js, Express, and NestJS—across both frontend and backend. It enables the development of frontend applications in TypeScript and leverages microservices to implement actuarial algorithms in Python.
The application’s scope and client base are poised for significant growth.
About the role
We are looking for a Quantitative Python Developer with excellent development skills, eager to work on pricing projects for the insurance industry. You will architect and design state-of-the-art data management solutions and lead an international implementation team.Your responsibilities
- Developing and maintaining actuarial algorithms and models in Python
- Collaborating with actuarial consultants to translate business requirements into technical solutions
- Building and deploying microservices that integrate with TypeScript-based frontends
- Optimizing performance and scalability of actuarial computations
- Ensuring code quality through testing, documentation, and peer reviews
- Actively collaborating with multinational teams, including POs, Business Analysts, and internal/client-side developers from Europe, providing full support and defining deadlines
- Communicating with stakeholders at different levels and from diverse backgrounds, understanding the project environment, identifying obstacles, and proposing solutions while demonstrating analytical and problem-solving skills
- Managing multiple projects simultaneously and meeting tight deadlines
- Contributing to the evolution of the Actus ecosystem and its modular architecture
Your skills and experience
- Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Computer Science, Engineering, Physics, or a related field
- Strong proficiency in Python, including experience with scientific libraries (e.g., NumPy, pandas, SciPy, Polars, PySpark)
- Strong understanding of OOP and FP principles
- Good understanding of data structures, algorithms, numerical methods, and concurrent programming
- Experience or familiarity with XP engineering practices and values, including Test-Driven Development (TDD), refactoring, continuous integration and deployment, pair programming, customer involvement, and simplicity
- Familiarity with microservices architecture and RESTful APIs
- Team-oriented, reliable, and self-driven
- Service-oriented with a strong focus on customer satisfaction
Will be a plus
- Experience in the (re-)insurance or financial services industry as an actuarial software developer
- Experience using FastAPI
- Knowledge of containerization tools (Docker, Kubernetes)
- Exposure to cloud platforms (Azure, AWS, GCP)
Why you’ll enjoy working at Solveva
- Over 90% of our employees would recommend Solveva as a place to work
- We are an owner-managed company — our management keeps its promises
- Small, expert teams working in a friendly and supportive environment
- Flat hierarchies and minimal bureaucracy
- A culture of trust with flexibility for remote, office, or hybrid work
- A personal budget for further education, equipment, or health-related benefits
- Choice of hardware: Windows or Mac
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