Java Lead Software Engineer_ Vice President _Software Engineering

Morgan Stanley•Campus, IL

About The Position

Java Agentic AI Software Engineer - Vice President - Software Engineering We’re seeking someone to join our FRPPE team as a Artificial Intelligence Lead, in in Finance Technology to architect and develop next-generation Java applications leveraging cloud, microservices, and modern frameworks, enabling digital transformation in financial systems. FINANCE Technology (FINTECH) provides innovative solutions for regulatory and financial reporting, general ledger, profit & loss calculations, securities bookkeeping, budgeting & forecasting, and tax filing. The group leverages a state-of-the-art multi-terabyte financial data warehouse as one of its main assets to service the Firm’s Finance division. 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 Lead Software Engineer position at Vice President Level, which is part of the job family responsible for developing and maintains 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. What you’ll do in the role: The candidate will be working in a team working on Core MS Finance Tech applications built on AI/ML with Java (Scala) and or Python, leveraging Spring boot/Spark containers with Angular front ends. The candidate will also be working on very intensive business & data analysis out of our Finance Data Warehouse (FDW) built in Teradata/Snowflake. In working closely with the local/global project manager, colleagues, and internal clients within Finance, the candidate will be involved in all stages of the development life cycle from requirements gathering to post-release and ongoing Lv3 support as escalation point.

Requirements

At least 10+ years' relevant experience would generally be expected to find the skills required for this role with Bachelor's/Master's Degree in Computer Science, Information Systems or related field
Relevant Experience in Artificial Intelligence and Machine Learning technologies.
Java/Scala Programming: Web development, Web Services (REST API), Data Engineering and high-performance data processing applications
Python Based Programming
Angular UI Development: Experience building very reliable, working with large volumes of data and UI support for data slicing
Extensive DevOps Tooling including Unit/Functional Testing in a developer capacity
High interest in Finance business & data analysis required.
Ownership/Accountability and desire to take on an expanded role over time.
Ability to multi-task and work against deadlines/priorities
Eager to work with new technologies and apply them towards enterprise-level data solutions
Capable of working with a global team and thriving in a team development environment
Advanced problem solving skills and the ability to deal with real world business issues

Nice To Haves

Experience with Spark Framework and application level caching software (preferred)
Experience with some Rule Engine (SlateX, ILog, JRule, etc) preferred
Hands-on experience with Cloud (AWS or Azure) preferred
Job scheduler tools: Any scheduling tool experience (preferably Autosys)
Exposure to BFSI and finance industry preferred
At least 6 years' relevant experience would generally be expected to find the skills required for this role.
Interest in Accounting preferred.
Eager to learn business in Finance such as accounting for financial products like derivatives accounting, regulatory requirements and working closely with internal finance controllers

Responsibilities

Perform business/data analysis to investigate into various business problems and propose the solution working closely with clients and team
Design, implement, test and maintain web and data processing applications – technology choice could vary depending on the types of components and team’s strategy
Performance and scalability optimization to support large scale deployments
Define new features in conjunction with product management, and provide specifications
Ensure quality and completeness of the final product through unit testing, documentation and maintenance as appropriate.

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