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Prometeia Logo Prometeia · IT - Software Development

Lead Quantitative Developer (Python)

Italy, Bologna · Job Posted June 29, 2026
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Job Description

Prometeia is looking for a Lead Quantitative Developer (Python) to join its internal development team. Lead the industrialization, evolution, and maintenance of Prometeia's quantitative libraries across the risk, climate, and credit domains, acting as a key link between quantitative research, software development, and delivery.

Job Responsibility

  • Collaborate with quantitative teams across different competence lines to understand methodological requirements and translate them into industrialized software components
  • Lead the engineering of models, algorithms, and quantitative libraries developed by research teams, ensuring robustness, scalability, quality, and maintainability
  • Ensure the effective integration of methodological and modeling components into product libraries and frameworks, including, where required, contributing directly to their implementation
  • Define architectures, development standards, testing practices, and delivery processes for quantitative software
  • Support other quantitative developers with design activities, code reviews, troubleshooting, and code quality improvements
  • Contribute to the evolution of ModelOps processes
  • Contribute to the evolution of quantitative library development processes through the pragmatic adoption of AI-assisted tools for coding, testing, documentation, and maintenance
  • Collaborate with the product team in defining engineering and delivery processes for Prometeia's quantitative libraries

Requirements

  • Scientific degree (Mathematics, Statistics, Physics, Engineering, Computer Science, Quantitative Economics, or related fields)
  • High level of seniority, strong autonomy in decision-making, and ability to drive technical standards and choices
  • Ability to provide technical coordination and collaborate across quantitative, product, and delivery teams
  • Advanced Python skills in scientific and numerical computing contexts
  • Strong proficiency in pandas and numpy
  • Significant experience with Spark/PySpark in the development and maintenance of distributed processing pipelines and libraries
  • Experience designing and maintaining Python libraries intended for enterprise use
  • Experience in industrializing quantitative models and transforming analytical prototypes into production-grade solutions
  • Knowledge of software engineering practices, CI/CD, testing, and packaging
  • Knowledge of ModelOps principles applied to quantitative models and analytical libraries
  • Ability to effectively interact with quantitative stakeholders

Nice to have

  • Experience with complex analytical projects in risk management, credit, climate risk, or related quantitative domains
  • knowledge of relevant quantitative methodologies
  • Experience with Docker and reproducible development/deployment environments
  • Experience with GitHub Actions, GitLab CI, Azure DevOps, or equivalent tools
  • Modern Python packaging experience (pyproject.toml, wheels, semantic versioning)
  • Experience coordinating technical activities or mentoring developers and quantitative researchers
  • Experience defining development standards and engineering processes for multidisciplinary teams
  • Advanced technical documentation skills (MkDocs, Sphinx, publishable notebooks, operational guides)
  • Professional proficiency in English

What we offer

  • Compensation with fixed and variable component
  • Important Welfare Plan
  • Benefits
  • Smart working
  • Training (average 11 days per year)
  • Win/Win Policy
  • Phygital Management via app
  • Community
  • Diversity and Inclusion
  • Environmental impact initiatives (LEED Gold Certification)
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