Take ownership of the full delivery lifecycle of Python financial models and automation tools, including design, build, testing, packaging, release, and ongoing support.
Work closely with Business Analysts and domain experts to translate business needs into technical solutions.
Develop performant financial models and automation tools, optimised for use with large datasets.
Develop user-friendly UIs for model execution and reporting using modern frameworks.
Package and distribute models as deployable artefacts, ensuring reproducibility and dependency management.
Ensure code quality and maintainability with thorough unit, integration and system tests.
Actively participate in design forums and peer code reviews, providing and responding positively to constructive feedback.
Provide mentorship and line management for a Junior Python developer.
Share your Python expertise through collaborative learning sessions with members of the team.
Support the design and implementation of robust operating models.
Leverage your expertise to help shape our technical future; ensure we use the best tools and infrastructure available to us.

Requirements

Proven track record of Python model development and implementation.
Understanding of core software development principles.
Ability to develop complex financial models, optimise for performance and handle large datasets efficiently.
Experience with common Python tooling and best practices, including: - Virtual environments.
- Package management (e.g. uv, pip, poetry).
- Source control (e.g., Git/GitHub) for collaborative development.
- CI/CD pipelines for automated testing and deployment.
- Testing frameworks (e.g. pytest, unittest).
- Code quality (e.g. flake8, black, isort, myp, ruff)
Documentation tools (e.g., MkDocs, Sphinx) for maintainable technical documentation.
Excellent communication and presentation skills.
Passion for learning and staying ahead of the curve.
Experience with front-end technologies e.g. React (would be really useful).
Experience with data processing and validation libraries (Polars, Pandera), numerical computing (NumPy, Numba), and API frameworks (FastAPI)

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonfinancial modelingautomation toolslarge datasetsUI developmentunit testingintegration testingsystem testingCI/CDdata processing

Soft Skills

communicationpresentationmentorshipcollaborative learningconstructive feedbackownershipproblem-solvingadaptabilityteamworkleadership