What you'll do in the role: Morgan Stanley Services Group Inc. is seeking a Director, Software Engineering in New York, New York to build and maintain Java Spring Boot services, Python ETL flows, and data quality rules based on business requirements. Maintain the schemas and contents of our operational data stores (ODSs) and data warehouse across DB2 and Snowflake databases. Respond to support queries and system or data alerts. Perform detailed data analysis to troubleshoot system anomalies. Document process enhancements. Work closely with business users, external vendors, Morgan Stanley's central IT teams, and other Investment Management IT teams globally. Participate in the SDLC as required by the firm to develop, deploy, and support applications. Perform software hygiene tasks to ensure software is properly upgraded and security risks are minimized. Telecommuting permitted up to two (2) days per week.
What you'll bring to the role:-Requires a Master's degree in Information Systems and Security, Computer Information Systems or a related field.
-Requires three (3) years of experience in the position offered or three (3) years as a Computer Programmer, Software Developer, or a related role.
-Requires three (3) years of experience with the following:
- Applying end-to-end backend engineering for enterprise data platforms using Python, Java 8+, and Spring Boot;
- Utilizing Python knowledge in ETL engineering and data pipeline maintenance for operational and analytical data workflows;
- Conducting data quality framework development in Python, including validation, reconciliation, and anomaly detection rules;
- Performing relational database skills across DB2, Snowflake, and SQL Server, including schema design, SQL optimization, and data lifecycle management;
- Microservices and API design expertise, including RESTful service development and integration;
- Service-Oriented Architecture (SOA) application in distributed enterprise systems;
- Applying Cross-language data access implementation using Java/Python database connectivity layers;
- Implementing Cloud platform to modernize data and service architecture;
- Evaluating production support and incident response capability for system alerts, data issues, and root-cause analysis;
- Applying SDLC ownership across design, build, test, deployment, support, and secure software hygiene/upgrades;
- Utilizing UNIX/Linux operational proficiency for deployment, scripting, troubleshooting, and runtime support;
- Demonstrating expertise with exceptional command of investment management data, workflows, and controls that drive accurate, high-impact business outcomes;
- Evaluating quantitative and analytical capability for portfolio analytics contexts including performance, attribution, and risk;
- Calculating Financial look-through for portfolio exposure, risk analytics and built complex logic for multi-level look-through of funds.
Expected base pay rates for the role will be between $165,589 and $165,589 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
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