Morgan Stanley is hiring a Java/Scala/Axiom Developer for its Finance Technology Regulatory Reporting team. In this Software Engineering II (Associate) position, you will develop and maintain applications that provide services for Regulatory Reporting groups and file disclosures to global regulators.
What You'll Do
- 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, including mapping, validation, and deployment support.
- Analyze platform hygiene and DevOps gaps and define a prioritized remediation plan for standards, CI/CD, monitoring, and 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 with reliable refreshes.
What We're Looking For
- 1+ years of experience with Regulatory Reporting tools like Axiom or Suade.
- 2-6+ years of software development experience in Scala/Spark or Java.
- Database experience with SQL and RDBMS platforms like Snowflake DB (preferred) or Postgres.
- Experience incorporating AI-assisted development tools like GitHub Copilot or Claude with an engineering approach.
- Experience with PowerBI.
- Knowledge of French and English is required.
Nice to Have
- Knowledge of Unix commands/shell or Python scripting.
- Experience with Azure cloud technologies such as Databricks.
Technical Stack
- Languages: Java, Scala, Python
- Frameworks/Tools: Axiom, Spark, PowerBI
- Databases: SQL, Snowflake DB, Postgres
- AI Tools: GitHub Copilot, Claude
- Infrastructure: Unix, Azure, Databricks
Team & Environment
You will be a member of the development team within Finance Technology, specifically the Regulatory Reporting team.
Work Mode
This is a hybrid position based in Montreal, Quebec.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
