Morgan Stanley is hiring an Artificial Intelligence Software Engineer at the Vice President level to architect and develop next-generation applications for Finance Technology. In this lead role, you will leverage AI/ML, cloud platforms, and microservices to enhance our core financial systems, performing intensive business and data analysis from our Finance Data Warehouse.
What You'll Do
- Perform business and data analysis to investigate business problems and propose solutions, working closely with clients and your team.
- Design, implement, test, and maintain web and data processing applications.
- Optimize application performance and scalability to support large-scale deployments.
- Define new features in conjunction with product management and provide detailed specifications.
- Ensure product quality through unit testing, comprehensive documentation, and maintenance.
What We're Looking For
- A Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- At least 10+ years of relevant professional experience.
- Proven experience in Artificial Intelligence and Machine Learning technologies.
- Expertise in Java/Scala programming for web development, REST APIs, data engineering, and high-performance data processing.
- Strong skills in Python-based programming.
- Experience with Angular UI development, especially for reliable, data-intensive applications with UI support for data slicing.
- Extensive experience with DevOps tooling and unit/functional testing in a developer capacity.
- A high interest in Finance business and data analysis, with an eagerness to learn about financial product accounting and regulatory requirements.
- A strong sense of ownership, accountability, and the desire to take on an expanded role over time.
- The ability to multi-task and work effectively against deadlines and shifting priorities.
- Enthusiasm for working with new technologies and applying them to enterprise-level data solutions.
- Capability to work successfully with a global team and thrive in a collaborative development environment.
- Advanced problem-solving skills and the ability to tackle real-world business issues.
Nice to Have
- Experience with the Spark framework and application-level caching software.
- Familiarity with a rule engine such as SlateX, ILog, or JRule.
- Hands-on experience with a cloud platform (AWS or Azure).
- Experience with job scheduler tools, preferably Autosys.
- Exposure to the Banking, Financial Services, and Insurance (BFSI) sector and finance industry.
- An interest in Accounting.
Technical Stack
- Languages: Java, Scala, Python
- Frameworks: Spring Boot, Spark, Angular
- Data Platforms: Teradata, Snowflake
- Infrastructure: AWS, Azure, Autosys
Team & Environment
You will be part of the FRPPE team within Morgan Stanley's Finance Technology organization.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
