Role OverviewWe 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.
Key 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.
What We're Looking For - 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.
Preferred Background - 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.
Expected base pay rates for the role will be between
$225,000 - $250,000 for
Vice President, 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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