Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

We’re seeking someone to join our team as Vice President - Data Scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and AI tools.

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 Engineering position at Vice President level, which is part of the job family

responsible for developing and maintaining software solutions that support business needs.

Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST’s ‘clients’ include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.

Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms

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:

Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions
The role will require the candidate to work independently with Research business and vendors on analysing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.
Provide technical leadership and vision for software development projects.
Define technical architecture and roadmap for large-scale, mission-critical systems.
Establish and communicate departmental goals and objectives aligned with business priorities.

What you’ll bring to the role:

Ability to effectively manage multiple functions or guide junior staff and initiatives.
Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.

Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
Familiar with noSQL and vector databases
Experience in CPU/GPU cloud environments
Excellent communication skills and basic knowledge in finance
PhD or Master’s degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields
At least 6 years' relevant experience would generally be expected to find the skills required for this role

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.