Morgan Stanley Logo

Morgan Stanley

Technical Lead, Software Engineering (Hybrid)

Posted 4 Days Ago
Be an Early Applicant
Hybrid
Montréal, QC, CAN
Senior level
Hybrid
Montréal, QC, CAN
Senior level
Lead technical delivery of an enterprise SAP finance transformation (ECC to S/4HANA). Design and build reconciliation and control frameworks, develop Java/Python solutions using GenAI/LLMs, manage consultants, drive CI/CD and automated testing, and coordinate with SAP, finance, and stakeholders throughout go-live and post-go-live.
The summary above was generated by AI

We’re seeking someone to join our team as a Lead Software Developer in Finance Technology to drive the end-to-end delivery of a large-scale SAP finance transformation, building critical reconciliation and control capabilities that ensure financial integrity across systems.

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 designing, developing, testing, and maintaining software applications and systems that meet business needs through modern engineering practices and technologies.

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, build, and deliver the Transaction Journals control framework, ensuring completeness, accuracy, and auditability of financial postings.
•Lead the technology integration for the ECC to S/4HANA migration, including system initialization, transaction replay, and automated reconciliation.
•Build reconciliation solutions that account for the consolidation of ECC modules (GL, FA, AP) into a unified S/4HANA model.
•Own the migration of ongoing differences (diff) through go-live and post-go-live phases across SAP releases.
•Develop solutions using Java and/or Python, leveraging GenAI, LLM, and Copilot-style tools across the development lifecycle.
•Partner with SAP functional and finance teams to translate complex business processes and data models into robust technical solutions.
•Provide hands-on technical leadership and manage a team of consultants, including mentoring and work oversight.
•Drive engineering best practices including code quality, automated testing, CI/CD, and control rigor.
•Communicate progress, risks, and dependencies clearly across technology, finance, and SAP stakeholders.

What you'll bring to the role:

•6+ years of experience in software engineering with hands-on delivery of complex enterprise systems.
•Strong expertise in Java and/or Python development with experience leveraging GenAI, LLMs, or AI-assisted development tools.
•Proven experience in large-scale data migration, integration, and reconciliation, including strong SQL and data modelling skills.
•Ability to quickly understand complex business processes and partner with functional stakeholders.
•Demonstrated experience leading, mentoring, and managing technical teams and consultants.
•Strong problem-solving, analytical, and communication skills.
•Experience working with SAP finance data or alongside SAP teams (GL, AP, FA) + Exposure to S/4HANA finance migrations and financial controls frameworks is an asset.

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.

Morgan Stanley Montréal, Québec, CAN Office

700 Wellington St, Montréal, Quebec, Canada, H3C 3S4

Similar Jobs

3 Hours Ago
Remote or Hybrid
Canada
Senior level
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead and modernize QA strategy across cloud-native insurance connectivity platforms. Drive AI-assisted test generation, automation frameworks, performance and regression testing, release validation, quality metrics, and mentor QA leaders to improve release confidence and reliability.
Top Skills: Ai FrameworksAPIsCloud-Native ApplicationsDevOpsDistributed Messaging SystemsEvent-Driven ArchitecturesGoogle Cloud Platform (Gcp)JavaLookerMessage QueuesPerformance TestingRegression TestingSpringTest Automation Frameworks
7 Hours Ago
In-Office or Remote
CA
Expert/Leader
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead the architectural vision for Bizplat, consolidating fragmented services into reusable platform capabilities. Design and build core systems (case management, workflow orchestration, AI/ML pipelines, event streaming), drive migrations, set engineering standards, mentor engineers, and partner with domain teams to translate operational needs into scalable, governable solutions.
Top Skills: Agentic ArchitecturesAi/Ml PipelinesAirflowCase ManagementContact Center PlatformsEvent StreamingGoGraphQLJavaKafkaKubernetesLlmsRubyTemporalWorkflow Orchestration
7 Hours Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead and coach a team of ~8 account executives selling full-cycle to SMBs: hire, onboard, train, review pipeline, support deals, create training content, and collaborate cross-functionally to meet quarterly targets.
Top Skills: Salesforce (Sfdc)

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account