Senior Quant Python Engineer – Remote & AI-Driven Libs

Prometeia

Bologna

On-site

EUR 35,000 - 45,000

Full time

6 days ago
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Benefits offered by this job

Meal vouchers €10
Annual welfare benefits package

Job summary

Prometeia is seeking a Senior Quantitative Python Developer to join its internal development team in Bologna. You will engineer scalable software for quantitative frameworks, define engineering standards, and industrialise library development with AI-assisted tooling.

The role focuses on engineering quality, deployment, and maintainability rather than novel quantitative methods. You will collaborate across quantitative teams, product, and delivery to implement production-grade solutions,

Qualifications

  • Advanced Python in scientific contexts.
  • Proficient with pandas and numpy.
  • Experience with Spark/PySpark in distributed pipelines.
  • Experience designing Python libraries for enterprise use.

Responsibilities

  • Collaborate with quantitative teams to translate requirements into robust software components.
  • Ensure integration of models and components into product libraries and frameworks.
  • Define architectures, standards, testing, and delivery processes for quantitative software.
  • Support other developers in design, reviews, and troubleshooting to improve code quality.
  • Contribute to evolution of ModelOps processes and library development workflows.

Skills

Advanced Python
Pandas
NumPy
Spark/PySpark
Enterprise Python libraries
CI/CD
ModelOps
Stakeholder interaction

Education

Scientific degree in Mathematics/Statistics/Physics/Engineering/CS

Tools

Docker
GitHub Actions
GitLab CI
Azure DevOps
MkDocs/Sphinx
Python packaging (pyproject.toml)

Job description

Prometeia is seeking a Senior Quantitative Python Developer to join its internal development team in Bologna. You will engineer scalable software for quantitative frameworks, define engineering standards, and industrialise library development with AI-assisted tooling.

The role focuses on engineering quality, deployment, and maintainability rather than novel quantitative methods. You will collaborate across quantitative teams, product, and delivery to implement production-grade solutions,

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