Lead Python Engineer - Backtesting Framework for Quant

Morgan-Stanley; Paris; Hybride; EUR 110 000 - 140 000; Plein temps

Avantages offerts par ce poste

Flexible working arrangements

Diversity & inclusion

Résumé du poste

Morgan Stanley is seeking a senior software engineer to lead the development of a backtesting framework used by researchers, quants, and strategists in the Institutional Securities Technology group in Paris.

You'll provide technical leadership, design distributed Python systems, and work with numpy, pandas, and related libraries to handle large datasets, with a focus on testing, code quality, and scalable deployments. Hybrid work options available.

Qualifications

• Experience building distributed Python systems.
• Strong emphasis on automated testing and CI/CD.
• Ability to collaborate with quants, researchers, and traders.
• Knowledge of time-series data and financial datasets is a plus.

Responsabilités

• Lead architecture and roadmap for the backtesting framework.
• Develop features and optimize performance for large datasets.
• Mentor team and ensure code quality through best practices.
• Collaborate with quants and traders to translate requirements into robust solutions.

Connaissances

Python

Distributed systems

Code quality

Testing

Communication

Formation

Bachelor's degree in CS or related

Outils

Numpy

Pandas

Polars

Git

Description du poste

Morgan Stanley is seeking a senior software engineer to lead the development of a backtesting framework used by researchers, quants, and strategists in the Institutional Securities Technology group in Paris.

You'll provide technical leadership, design distributed Python systems, and work with numpy, pandas, and related libraries to handle large datasets, with a focus on testing, code quality, and scalable deployments. Hybrid work options available.