GenAI Strats - Fixed Income - Vice President

Morgan Stanley • New York, NY

2d • Onsite

About The Position

We are seeking a passionate, collaborative VP-level GenAI professional to help shape how Generative AI is applied across financial and business workflows. This is a high-visibility opportunity to work at the intersection of markets, data, software engineering, and applied AI - building tools that go beyond prototypes and deliver measurable business impact. You will partner with front-office, control, and technology teams to identify high-value opportunities, turn ambiguity into clear solution paths, and drive delivery from idea to production. The role is designed for someone who can operate with VP-level ownership: interfacing with stakeholders, leading workstreams independently, and setting a high bar for execution.

Requirements

• VP-level judgment, ownership, and the ability to independently lead workstreams from problem framing through delivery.
• Strong communication skills and comfort working across business and technology teams.
• Strong Python skills, familiarity with the data science stack, and solid software engineering fundamentals.
• Experience with Generative AI / LLMs, including prompt design, evaluation, retrieval or tool use, and application development.
• Familiarity with SQL, APIs, and structured or time-series data.
• A portfolio of projects, prototypes, published work, or open-source contributions that demonstrate how you frame problems and build solutions; GitHub repositories and public examples are encouraged.

Nice To Haves

• Experience in financial services or the ability to quickly learn financial products, market structure, and business workflows.
• Exposure to fixed income, rates, derivatives, pricing, trade lifecycle, or control-oriented workflows is a plus.
• Quantitative background in computer science, engineering, mathematics, statistics, physics, or a related field.

Responsibilities

• Translate business, data, and workflow problems into structured solutions and drive delivery end to end.
• Design, build, and deploy AI-powered applications, models, dashboards, and automation tools.
• Partner with trading, sales, risk, finance, operations, and technology teams to identify priorities and deliver measurable impact.
• Apply strong engineering discipline, including testing, version control, monitoring, and iteration based on feedback and usage.
• Communicate technical concepts and analytical findings clearly to both technical and non-technical stakeholders.

Benefits

• Ample opportunity to move about the business for those who show passion and grit in their work.
• Some of the most attractive and comprehensive employee benefits and perks in the industry.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed