Senior Python Engineer: Backtesting Platform for Quants

Morgan Stanley; Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Flexible work arrangements

Comprehensive employee benefits

Résumé du poste

Morgan Stanley's Institutional Securities Technology team seeks a senior software engineer to design and implement a backtesting framework in Python for researchers, quants and strategists.

You will lead technical direction, collaborate with quants and traders, and deliver scalable, high‑quality software in an agile environment, focusing on testing, design patterns and maintainability.

Qualifications

• Experience developing distributed systems in Python with scalable architecture.
• Strong focus on automated testing, code quality, and CI/CD practices.
• Ability to collaborate with quants/traders and translate business needs into robust tech solutions.

Responsabilités

• Provide technical leadership and vision for software development projects.
• Define technical architecture and roadmap for large-scale, mission-critical systems.
• Establish and communicate departmental goals and objectives aligned with business priorities.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Develop and maintain relationships with key stakeholders to ensure project success.
• Oversee the execution of software development projects, ensuring quality and on-time delivery.
• Drive the recruitment and retention of top technical talent for the team.
• Collaborate with senior leadership to shape technology strategy and roadmap.
• Represent the software engineering team in cross-functional discussions and planning sessions.

Connaissances

Python

Distributed systems design

Automated testing

Code quality

OOP fundamentals

Data structures & algorithms

Strong communication

Outils

numpy

pandas

polars

KDB

Description du poste

Morgan Stanley's Institutional Securities Technology team seeks a senior software engineer to design and implement a backtesting framework in Python for researchers, quants and strategists.

You will lead technical direction, collaborate with quants and traders, and deliver scalable, high‑quality software in an agile environment, focusing on testing, design patterns and maintainability.