Morgan Stanley is a global financial services firm offering investment banking, securities, wealth management, and investment management services, serving diverse clients worldwide with high standards of excellence.
New York, NY
Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management and investment management services. With a 90-year history, Morgan Stanley today operates in 42 countries serving corporations, governments, institutions, families and individuals. Morgan Stanley is a talent business that demands ongoing investment in our people. Key drivers of our success have been the breadth and tenure of our talent, as well as a unique culture and a set of values that guide our employees. We view Morgan Stanley’s talent and culture as a key competitive advantage enabling the Firm to achieve its potential and drive future success. As an integrated firm with scaled capabilities, we partner with clients at every stage of their financial journey. Our ability to do so is grounded in four pillars that define Morgan Stanley: a clear and consistent strategy to help clients raise, manage and allocate capital; a culture grounded in rigor, humility and partnership; financial strength through capital, earnings power and durability; and growth driven by smart, strategic investment globally. These pillars enable Morgan Stanley to provide trusted advice, operate with resilience across market cycles and deliver long-term value to our clients and shareholders. Social Media Disclosures: mgstn.ly/SocialDisclosure
Hybride · Montréal
Develop pricing and risk models, electronic trading algorithms, and data analytics to support client financing trading. Collaborate with internal teams to automate workflows, manage balance sheets, and improve P&L attribution.
Hybride · Montréal
Lead a team of HR data governance professionals to ensure structured HR data is trusted, transparent, and fit for operational and analytical use. Manage the enterprise HR data catalog, metadata standards, and data quality frameworks while partnering with stakeholders to embed governance into system design.
Hybride · Montréal
Lead the global HR data governance function by establishing standards, ownership models, and controls to ensure data reliability. Partner with cross-functional teams to integrate data quality requirements into system design, reporting, and AI-supported tools.
Hybride · Montréal
The role involves leading the operational oversight and modernization of real-time market data platforms to ensure stability and reliability. You will drive automation initiatives, infrastructure upgrades, and production change management while collaborating with cross-functional teams.
Hybride · Montréal
The role involves defining and governing technology strategy metrics and KPIs to measure progress across the firm's architecture, engineering, and data initiatives. You will design technical architectures for data aggregation and provide strategic insights to senior leadership through dashboards and reporting.
Hybride · Montréal
Lead the design and development of scalable Java/Spring-based services for the custody platform while driving technical architecture decisions. Mentor engineering specialists and collaborate with cross-functional teams to ensure reliable releases and alignment with business priorities.
Hybride · Montréal
Manage indirect sourcing activities across commodities such as HR benefits, travel, professional services, and marketing. The role involves developing sourcing strategies, negotiating best-in-class contract terms, and managing the end-to-end supplier lifecycle.
Hybride · Montréal
The Lead Workplace Engineering Specialist will provide technical leadership for enterprise content and survey solutions, overseeing design, delivery, and production support. This role involves driving platform enhancements, managing SaaS integrations, and mentoring team members to ensure operational excellence.
Hybride · Montréal
Design, develop, and enhance Java and Python-based services for the ingestion, mastering, and distribution of Securities Reference Data. Collaborate with global teams to maintain high standards of data quality and resolve production issues across trading and regulatory processes.