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AI Product & Engineering Vice President, Investment Banking

ExperiencedNo visa sponsorship
BGC Partners logo

at BGC Partners

Other

Posted 7 days ago

No clicks

"AI-driven Innovation in Investment Banking: Cantor Fitzgerald seeks a Vice President to lead AI product and engineering efforts, designing and deploying LLMs for core workflows including pitch preparation, financial analysis, and market surveillance. Key responsibilities include rapid prototyping, integration with data infrastructure, and driving adoption. Essential skills: 3+ years in investment banking, full-stack development, LLM experience, and proficiency in a programming language. Navigate compliance, data sensitivity, and regulatory constraints. Ideal candidate is a deeply fluent AI product manager with strong ownership mindset and excellent communication skills."

Compensation
$170,000 – $200,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Full Job Description

Location: NY, United States

Cantor Fitzgeralds Investment Banking division is establishing a dedicated AI function and seeks a Vice President to own the endtoend creation, deployment, and adoption of AI tools across all dealmaking activities. Reporting to the Head of AI, you will partner with bankers, compliance, and technology teams to design solutions that embed directly into pitch preparation, financial analysis, diligence, and market surveillance, driving measurable efficiency and competitive advantage.

Responsibilities

  • Design and build AIpowered applications for core IB workflows such as pitch decks, comparable company analysis, CIM drafting, diligence summarization, client research, and market surveillance.
  • Own the full development lifecycle: data sourcing, LLM integration, backend logic, and userfacing interfaces; prototype rapidly and iterate based on banker feedback.
  • Integrate solutions with firm data infrastructure including FactSet, PitchBook, SEC EDGAR, and internal databases to deliver contextaware insights.
  • Establish technical standards, architectural guidelines, evaluation frameworks, and guardrails to ensure productiongrade performance and compliance.
  • Collaborate with coverage groups to translate highfriction tasks into tractable AI problems and serve as senior liaison on AI strategy.
  • Create and maintain enablement assetsdocumentation, training, support channelsand drive adoption through measurable metrics.
  • Manage the AI request intake pipeline, prioritize initiatives, scope deliverables, and communicate timelines to stakeholders.
  • Monitor deployed tools for performance, usage, and issue resolution; continuously refine based on realworld data.
  • Contribute to the longterm AI roadmap, resource planning, and hiring recommendations for the function.
  • Navigate compliance, data sensitivity, and regulatory constraints, partnering with InfoSec and Legal as integral collaborators.

Qualifications

  • 3+ years of experience in investment banking, corporate finance, or a closely related financial services role.
  • Deep functional fluency in IB deal processes including pitch construction, financial modeling, CIM preparation, and capital markets execution.
  • Handson experience architecting and deploying LLMbased solutions, including context pipelines, evaluation frameworks, and cost/quality tradeoffs.
  • Fullstack prototyping skills with ability to integrate data sources, build backend logic, and create userfriendly interfaces.
  • Proficiency in a programming language (e.g., Python, JavaScript) and familiarity with financial data APIs such as Bloomberg, PitchBook, or SEC EDGAR.
  • Demonstrated ownership mindset with a track record of identifying problems and delivering endtoend solutions.
  • Strong judgment in ambiguous, highstakes environments and ability to set direction without complete information.
  • Excellent communication skills to translate technical concepts for senior bankers and convey IB context to technology teams.
  • Experience designing AI solutions within compliance, data security, and regulatory frameworks.
  • Bachelors degree in finance, economics, computer science, engineering, or a quantitative field; advanced degree is a plus.

    Compensation- $170,000- $200,000

    #LI-JM22
Lead AI product and engineering initiatives for Cantor Fitzgerald Investment Banking, building and deploying LLM-powered tools to accelerate deal workflows.

AI Product & Engineering Vice President, Investment Banking

Compensation

$170,000 – $200,000 USD

City: New York City

Country: United States

BGC Partners logo
Other

7 days ago

No clicks

at BGC Partners

ExperiencedNo visa sponsorship

"AI-driven Innovation in Investment Banking: Cantor Fitzgerald seeks a Vice President to lead AI product and engineering efforts, designing and deploying LLMs for core workflows including pitch preparation, financial analysis, and market surveillance. Key responsibilities include rapid prototyping, integration with data infrastructure, and driving adoption. Essential skills: 3+ years in investment banking, full-stack development, LLM experience, and proficiency in a programming language. Navigate compliance, data sensitivity, and regulatory constraints. Ideal candidate is a deeply fluent AI product manager with strong ownership mindset and excellent communication skills."

Full Job Description

Location: NY, United States

Cantor Fitzgeralds Investment Banking division is establishing a dedicated AI function and seeks a Vice President to own the endtoend creation, deployment, and adoption of AI tools across all dealmaking activities. Reporting to the Head of AI, you will partner with bankers, compliance, and technology teams to design solutions that embed directly into pitch preparation, financial analysis, diligence, and market surveillance, driving measurable efficiency and competitive advantage.

Responsibilities

  • Design and build AIpowered applications for core IB workflows such as pitch decks, comparable company analysis, CIM drafting, diligence summarization, client research, and market surveillance.
  • Own the full development lifecycle: data sourcing, LLM integration, backend logic, and userfacing interfaces; prototype rapidly and iterate based on banker feedback.
  • Integrate solutions with firm data infrastructure including FactSet, PitchBook, SEC EDGAR, and internal databases to deliver contextaware insights.
  • Establish technical standards, architectural guidelines, evaluation frameworks, and guardrails to ensure productiongrade performance and compliance.
  • Collaborate with coverage groups to translate highfriction tasks into tractable AI problems and serve as senior liaison on AI strategy.
  • Create and maintain enablement assetsdocumentation, training, support channelsand drive adoption through measurable metrics.
  • Manage the AI request intake pipeline, prioritize initiatives, scope deliverables, and communicate timelines to stakeholders.
  • Monitor deployed tools for performance, usage, and issue resolution; continuously refine based on realworld data.
  • Contribute to the longterm AI roadmap, resource planning, and hiring recommendations for the function.
  • Navigate compliance, data sensitivity, and regulatory constraints, partnering with InfoSec and Legal as integral collaborators.

Qualifications

  • 3+ years of experience in investment banking, corporate finance, or a closely related financial services role.
  • Deep functional fluency in IB deal processes including pitch construction, financial modeling, CIM preparation, and capital markets execution.
  • Handson experience architecting and deploying LLMbased solutions, including context pipelines, evaluation frameworks, and cost/quality tradeoffs.
  • Fullstack prototyping skills with ability to integrate data sources, build backend logic, and create userfriendly interfaces.
  • Proficiency in a programming language (e.g., Python, JavaScript) and familiarity with financial data APIs such as Bloomberg, PitchBook, or SEC EDGAR.
  • Demonstrated ownership mindset with a track record of identifying problems and delivering endtoend solutions.
  • Strong judgment in ambiguous, highstakes environments and ability to set direction without complete information.
  • Excellent communication skills to translate technical concepts for senior bankers and convey IB context to technology teams.
  • Experience designing AI solutions within compliance, data security, and regulatory frameworks.
  • Bachelors degree in finance, economics, computer science, engineering, or a quantitative field; advanced degree is a plus.

    Compensation- $170,000- $200,000

    #LI-JM22
Lead AI product and engineering initiatives for Cantor Fitzgerald Investment Banking, building and deploying LLM-powered tools to accelerate deal workflows.