GenAI, Agentic AI developer for Financial/Regulatory Reporting (Hybrid)

We're seeking someone to join our Morgan Stanley Regulatory Reporting team as a GenAI, Agentic AI developer in Finance Technology, to develop applications to provide services for Morgan Stanley’s Regulatory Reporting groups as well as to report and file important disclosures to regulatory bodies across the globe. You will be expected to work as a member of the development team and participate in all aspects of the software development lifecycle, with automated testing, tools, and shared libraries development. The ideal candidate will possess solid technical and problem-solving skills as well as the drive to learn more about business and new technologies. Candidate should be open to work from front to back on applications and must have a sound grasp of development best practices and system architecture.

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 Software Engineering II position at Associate 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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

• Design, develop, and deploy GenAI-powered solutions using agentic AI frameworks (LangChain, CrewAI) to automate and augment regulatory reporting and data workflows.

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines leveraging Vector Databases (FAISS, pgvector, Elastic Search) for intelligent document retrieval, data sourcing, and knowledge management.

• Leverage AI-assisted development tools and agentic coding workflows within IDEs (VS Code, IntelliJ) to accelerate development, improve code quality, and drive engineering productivity.

• Consolidate data sourcing, integration, and verification across Control Functions to ensure consistent, controlled, and auditable outputs.

• Onboard and configure Axiom solution templates for regulatory reports (e.g., 14A DFAST, SEC Focus Brazil DLO, SPED), including mapping, validation, and deployment support.

• Analyze platform hygiene and DevOps gaps and define a prioritized remediation plan (standards, CI/CD, monitoring, environment controls).

• Implement and optimize business logic and data transformations using Scala/Spark (with testing and performance considerations).

• Build and maintain Power BI dashboards and KPIs (data quality, reconciliations, SLA/operational metrics) with reliable refreshes.

What you’ll bring to the role:

• Hands-on experience building GenAI applications using LangChain, CrewAI, or similar agentic AI frameworks

• Practical experience with Retrieval-Augmented Generation (RAG) patterns and Vector Databases such as FAISS or pgvector

• Proficiency with AI-assisted and agentic development workflows using IDEs such as VS Code and IntelliJ

• Experience incorporating AI-assisted development tools (e.g., GitHub Copilot, Claude) with an engineering approach

• 1+ years in Regulatory Reporting tool Axiom or Suade

• 2-3+ years software development experience in Java Scala/Spark or Database (SQL, Snowflake (preferred), Postgres)

• Experience with PowerBI

• Knowledge of Unix commands/shell or Python scripting (a plus)

• Experience with Azure cloud technologies such as Databricks (a plus)

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

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.

Build a career with impact. Visit morganstanley.com for more information.

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.

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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.

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