Company Profile

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. With offices in more than 43 countries, the people of Morgan Stanley are dedicated to providing our clients the finest thinking, products and services to help them achieve even the most challenging goals.

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.


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’ businesses-and 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.

Position Description:

TEDRA (Trade Enrichment Data Reporting & Allocations) is part of the Institutional Securities Technology (IST) Division. It is responsible for maintaining, distributing, and reporting on trading, revenue, risk, and reference data (client, product, and pricing). As the authoritative source of key data sets, we are at the forefront of database technology and are heavily involved in data engineering, data science, data visualization, and machine learning efforts across the Firm.

Within TEDRA, the Internal Trade and Reporting Applications (ITARA) Practice Area is responsible for systems and infrastructure that supports trade data extraction/enrichment, Data-Mart creation, report generation and distribution, high performance business intelligence platforms for internal clients.

The ITARA Reference Data Development Team is tasked with database engineering projects and other strategic RDBMS product evaluations.

The team is looking for talented data engineers to contribute on the development of its core infrastructure components on Sybase and DB2 database plants (several hundred databases).

The successful candidate must be passionate about data, have a strong interest and experience in RDBMS technologies, including enterprise-scale, real time, highly accessed transactional databases and replication systems.

This position offers an opportunity to participate in lively discussion on technical and business issues, meaning that strong communication skills and willingness to express their own views as well as listen to others is vital.

The tasks will include performance optimization, testing, database engineering, platform migration, version upgrades, development and distribution on cloud platforms. The person joining the team must be able to operate in a fast-paced Agile environment where time to market is a key requirement without compromising on the quality and resiliency of the application.


Required skills:

– At least 3 years of relevant experience
– Knowledge (intermediate level) of development and performance optimization on major RDBMS technologies
– Scripting knowledge (python or Perl)
– Basic knowledge of unix/linux operating systems
– Excellent communication skills.

Nice to have:

– Data modeling concepts.
– Version control, preferably with GIT.
– Knowledge of ETL products such as Informatica.
– Replication
– Agile practices
– Experience working in geographically dispersed teams.
– Other personal skills: Integrity & ownership, good team player, high degree of motivation to expand technical and business knowledge.

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.

Spotlight on our Montreal Technology Centre:
*Video dated October 2019.

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