We’re seeking someone to join our Securities Reference Data team as a Java Tech Lead to drive the evolution of strategic reference data platforms supporting Index and Exchange-Traded Funds (ETF) data mastering, distribution, and modernization initiatives across the Firm.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice-President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
Design, develop, and enhance applications supporting the ingestion, mastering, and distribution of Securities Reference Data (SRD), with a focus on Index and ETF reference data.
Build and maintain scalable Java- and Python-based services supporting reference data workflows across existing SRD platforms and modernization initiatives.
Manage and enhance workflows related to instrument hierarchies, identifier mappings, constituent relationships, benchmark relationships, and vendor-driven data changes.
Partner with business analysts, stakeholders, and end users to translate business requirements into robust technical solutions.
Drive end-to-end delivery of application enhancements, production changes, and strategic development initiatives.
Ensure high standards of data quality, timeliness, lineage, and governance across reference data platforms.
Analyze and resolve production issues while assessing downstream impacts across trading, risk, operations, and regulatory processes.
Collaborate with global development teams to deliver resilient, high-performing services leveraging REST APIs, microservices, Kafka, relational databases, and MongoDB.
What you'll bring to the role:
8+ years of relevant IT experience, preferably within Financial Services
Experience in Java and/or Python development within enterprise-scale applications.
Experience in relational database technologies including SQL, tables, triggers, stored procedures, and data modeling concepts.
Experience with REST APIs, microservices architectures, and event-driven platforms including Kafka.
Experience working with MongoDB, Linux environments, JSON, and XML schemas.
Experience working across the full software development lifecycle and collaborating with geographically distributed teams.
Understanding of reference data concepts and financial instruments, particularly Indexes, ETFs, and related market data structures.
Experience using AI-assisted development tools such as GitHub Copilot or Claude.
Ability to communicate clearly and concisely, analyze complex business problems and deliver practical technical solutions with strong attention to detail.
Understanding of open-source frameworks such as Spring Boot and Hibernate, Shell scripting, scheduling platforms (ex. Autosys, Cron, Airflow), and modern observability tooling (ex. Open Telemetry, Grafana, Loki, Temp, Prometheus) is advantageous.
All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
Skills Required
- 8+ years of relevant IT experience
- Experience in Java and/or Python development within enterprise-scale applications
- Experience in relational database technologies including SQL, tables, triggers, stored procedures, and data modeling
- Experience with REST APIs, microservices architectures, and event-driven platforms including Kafka
- Experience working with MongoDB, Linux, JSON, and XML schemas
- Experience working across the full software development lifecycle and with distributed teams
- Understanding of reference data concepts and financial instruments (Indexes, ETFs)
- Experience using AI-assisted development tools (GitHub Copilot, Claude)
- Fluent knowledge of French and English
- Understanding of Spring Boot and Hibernate, shell scripting, scheduling platforms (Autosys, Cron, Airflow), and observability tooling (OpenTelemetry, Grafana, Loki, Tempo, Prometheus)
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
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Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
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