Location: New York, NY, United States

Cantor Fitzgerald is creating a dedicated AI function within its Investment Banking division. Reporting to the Head of AI, you will design, prototype, and launch AIdriven applications that streamline pitch preparation, comparable analysis, diligence summarization, and market surveillance. This role blends deep investmentbanking knowledge with handson AI engineering to deliver productiongrade tools that enhance banker productivity and client outcomes.

Responsibilities

• Design and build AIpowered tools for core IB workflows such as pitch decks, CIM drafting, comparable company analysis, and diligence summarization.
• Own the endtoend development cycle: data sourcing, LLM integration, backend logic, and userfacing interfaces.
• Integrate solutions with firm data platforms (FactSet, PitchBook, SEC EDGAR, internal databases) to surface relevant information in real time.
• Maintain production quality by monitoring performance, handling issues, and iterating based on banker feedback.
• Partner with bankers, analysts, and associates to translate highfriction tasks into tractable AI problems.
• Develop documentation, training materials, and support channels to drive user adoption and enablement.
• Manage the AI request intake pipeline, prioritize projects, and communicate timelines to stakeholders.
• Track adoption metrics, timesavings, and business impact; use data to continuously improve the AI program.
• Navigate compliance, datasensitivity, and regulatory constraints in collaboration with InfoSec and Legal teams.
• Stay current with LLM advancements and evaluate cost/quality tradeoffs for production deployment.

Qualifications

• 2+ years of experience in investment banking, corporate finance, equity research, or a closely related financialservices role.
• Handson experience building and deploying LLMbased applications beyond tutorials, including context pipelines and evaluation frameworks.
• Fullstack prototyping skills: data integration, backend logic, and userinterface development; proficient in at least one programming language (Python, JavaScript, etc.).
• Familiarity with financial data APIs and platforms such as Bloomberg, PitchBook, FactSet, and SEC EDGAR.
• Strong understanding of IB deal processes: pitch construction, financial modeling, CIM/OM preparation, and capitalmarkets execution.
• Proven ability to work autonomously, define problems, and drive solutions from concept to production.
• Excellent communication skills; able to translate technical concepts for senior bankers and business context for engineers.
• Experience navigating compliance, dataprivacy, and regulatory requirements in a financialservices environment.
• Bachelors degree in finance, economics, computer science, engineering, or a quantitative discipline; advanced degree a plus.
• Ownership mindset and judgment in ambiguous, fastpaced environments.

 

Salary: $130,000 - $170,000 + Discretionary Bonus

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Join Cantor Fitzgerald's Investment Banking team as an AI Product & Engineering Associate, building and deploying LLMpowered tools to accelerate deal workflows.