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Prometeia Logo Prometeia · IT - Software Development

Senior Quantitative Developer (Python)

Italy, Bologna · Job Posted February 13, 2026
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Job Description

Are you curious and ready to take on a new career challenge? Are you eager to join a dynamic company and bring innovation through your work and skills? Prometeia offers opportunities for growth and training within a Group with over 1,000 professionals serving more than 500 clients in 20 countries worldwide. Among the European leaders in Wealth Management solutions, Prometeia is seeking a Senior Quantitative Python Developer to join our application development teams in Bologna.

Job Responsibility

  • Development of libraries (stable APIs) for quantitative calculations and data transformations in risk/climate/credit contexts
  • Implementation of analytical pipelines on datasets (mainly using pandas/numpy), with attention to: numerical correctness
  • handling of edge cases and missing/outlier data
  • performance (vectorization, profiling, targeted optimizations)
  • reproducibility (versioning, parameterization, consistent environments)
  • Advanced use of Jupyter for research/validation and conversion of prototypes into reusable, production-grade modules
  • Definition and maintenance of tests (unit, integration, regression) and numerical benchmarks
  • Contribution to build and CI processes (quality gates, linting/formatting, automated testing, packaging/release)
  • Collaboration with quantitative stakeholders and, when needed, support in technical communications with teams and clients

Requirements

  • Degree in a scientific field (mathematics, statistics, physics, engineering, computer science, quantitative economics, or related fields)
  • Advanced Python in a scientific computing context
  • Strong command of pandas and numpy
  • Solid experience with Jupyter (reproducible notebooks, debugging, structuring, profiling)
  • Best practices for libraries: API design, modularity, refactoring, and code review
  • Testing with pytest (or equivalent) and a regression-proof mindset
  • Git and PR-based workflows
  • Environment and dependency management without conda (e.g., venv + pip / poetry / pip-tools)

Nice to have

  • Spark / PySpark
  • CI/CD (GitHub Actions, GitLab CI, Azure DevOps, or similar), automated build/test processes, and reproducible environments also via Docker
  • Modern packaging (pyproject.toml, wheels), semantic versioning
  • Quantitative background in risk/credit/climate (even basic domain understanding)
  • Technical documentation (MkDocs/Sphinx), executable examples
  • English: ability to communicate effectively with international clients (calls, workshops, written communication)

What we offer

  • Compensation, consisting of a fixed and a variable component
  • Welfare Plan
  • Benefits, which include all the initiatives undertaken for the well-being of our people
  • Smart working
  • People Program
  • Ongoing training
  • Win/Win Policy (financial bonus for recommending a person who is later recruited)
  • Phygital Management
  • Community
  • Diversity & Inclusion
  • Impact (environmental protection)
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