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Python Software Engineer - Director (AVP-Equivalent)

Morgan Stanley is a leading global financial services firm providing investment banking, securities, investment management and wealth management services.
Backend
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Finance

Description For Python Software Engineer - Director (AVP-Equivalent)

Morgan Stanley's Data Analytics and Platform team within Institutional Securities Technology is seeking a Python Software Engineer Director to join their Risk and Data Analytics Centre in Paris. This role offers an exciting opportunity to work with state-of-the-art modern data stack using open-source technologies aligned with cloud strategy. The position involves building best-in-class solutions for Data APIs, Data Governance, Data Quality, Security & Privacy, and Architecture.

The role is part of Morgan Stanley's new Risk & Data Analytics Centre in Paris, supporting the growth strategy for Institutional Securities Group (ISG) both in EMEA and globally. The centre delivers cutting-edge, proprietary solutions to address rapidly changing business needs of the sales and trading franchise while providing a platform to foster innovation for markets businesses.

As a Python Software Engineer Director, you'll work closely with quants, traders, and stakeholders across multiple trading desks to design, develop, and deploy innovative data services. The role requires expertise in Python development, data processing technologies, and microservices architecture. You'll be responsible for providing support and design advice to users of the cross-asset platform and helping move financial assets, valuation models, and data pipelines to the platform.

The ideal candidate should have extensive experience in delivering complex IT projects, deep understanding of SDLC best practices, and proven track record in developing scalable Python applications. Strong analytical, problem-solving, and communication skills are essential. The role offers opportunities to work with cutting-edge technologies including data processing libraries, ETL platforms, and modern DevOps tools.

Morgan Stanley provides a superior foundation for building a professional career, offering comprehensive benefits, flexible working arrangements, and a supportive, inclusive environment where individuals can maximize their potential. The firm's commitment to excellence, integrity, and strong team ethic makes it an ideal place for talented professionals looking to make an impact in global financial markets.

Last updated 6 days ago

Responsibilities For Python Software Engineer - Director (AVP-Equivalent)

  • Work closely with quants and traders on multiple trading desks to design, develop, deploy and support innovative data services
  • Stay up to date with emerging trends and tools in the data & analytics domain
  • Provide support and design advice to users of the cross-asset platform
  • Work closely with strategists and other stakeholders to help move their financial assets, valuation models and data pipelines to the platform
  • Efficient Communication across regions and functions

Requirements For Python Software Engineer - Director (AVP-Equivalent)

Python
MongoDB
Kafka
Kubernetes
  • Extensive experience in delivering complex IT projects with Level 2 support experience
  • Profound knowledge of software development life cycle (SDLC) best practices
  • Proven track record of developing high-quality, scalable Python applications
  • Strong analytical and problem-solving skills
  • Strong oral and written communication skills, English is mandatory
  • Experience with performance optimization, concurrent programming and microservices design
  • Good knowledge of data processing libraries (Polars, Pandas, Numpy, Dask, Spark)
  • Knowledge of ETL and streaming pub/sub platforms
  • Knowledge of SDLC management tools

Benefits For Python Software Engineer - Director (AVP-Equivalent)

Medical Insurance
Parental Leave
  • Comprehensive employee benefits and perks
  • Flexible working arrangements
  • Global career opportunities
  • Supportive and inclusive environment

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