As a market leader, the talent and passion of our people is critical to our success. We embrace integrity, excellence, team work and giving back. Technology The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets. Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients businessesand to our own. Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. Our clients include Fixed Income, Equities, Commodities, Investment Banking, Research and Global Capital Markets. We are also responsible for Pioneer and Application Infrastructure groups that look to develop foundational strategies, tools and technologies that are leveraged across Technology, as well as standardized data and enterprise-wide services to provide leverage to the Firm’s businesses. Position Description Morgan Stanley is seeking a collaborative, hands-on Python development lead to help build out its global data science environment for quants, sales & trading. This is a rapidly growing and high-priority area, and the growth in users and use-cases has warranted the investment from the business to expand the team in Montreal, who is in need of a strong lead / manager. You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support the innovative data science environment that utilizes the latest Python ecosystem. You will work within a global team in an agile environment, so strong communications skills are very important. Qualifications Skilled required – Experience managing a development team – Experience developing & designing data-driven systems in Python – Python data engineering stack including libraries such as Flask / Numpy / Pandas / Dask / Plotly / Jupyter Nice to have – Full stack HTML5 Web development experience – KDB knowledge or experience with another high-performance timeseries database – Experience with financial concepts such as equities / fixed income / options / futures Knowledge of French and English is required. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.