The department delivers technology to report the firm’s balance sheet externally to multi-jurisdictional Regulators as well as internally to the firm’s controllers and business units
Job Summary
The department delivers technology to report the firm’s balance sheet externally to multi-jurisdictional Regulators as well as internally to the firm’s controllers and business units.
As member of a local squad in Montreal and a global fleet, the successful candidate will be responsible for building end-to-end systems from data sourcing to calculations to reporting using cutting-edge big data technologies.
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.
Matching Summary
The department delivers technology to report the firm’s balance sheet externally to multi-jurisdictional Regulators as well as internally to the firm’s controllers and business units.
Skills & Requirements
Must-have
Apache Spark
Azure Databricks
Airflow
Snowflake
Java/Scala, Python, SQL
Cloud technologies (Azure, AWS, GCP)
DevOps automation and CI/CD pipelines
Nice-to-have
Power BI reporting
Machine learning and GenAI
Agile development methodology
Test driven development
Key Requirements
4 to 8 years of experience
At least 5 years+ relevant experience in Java/Scala, Python and SQL
At least 3 years+ relevant experience in large-scale data processing engines like Apache Spark or cloud compute technologies like Azure Databricks preferably
At least 3 years+ relevant experience in cloud technologies (Azure, AWS or GCP)
At least 3 years+ relevant experience in building data pipelines and in ETL/ELT development using Airflow preferably
At least 4 years+ relevant experience in databases technologies: Snowflake, DB2 and Teradata preferably
At least 5 years+ relevant experience in DevOps automation and CI/CD pipelines