Investment Banking Associate - AI Product & Engineering

New York, NY, US • Posted 1 day ago • Updated 2 hours ago
Full Time
On-site
USD $130,000.00 - 170,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Reporting
  • Surveillance
  • Productivity
  • Workflow
  • Technical Drafting
  • Sourcing
  • Interfaces
  • Database
  • Real-time
  • Documentation
  • Training
  • Management
  • Artificial Intelligence
  • Collaboration
  • Information Security
  • Legal
  • Investment Banking
  • Corporate Finance
  • Research
  • Evaluation
  • Prototyping
  • Data Integration
  • UI
  • Python
  • JavaScript
  • Bloomberg
  • FactSet
  • SEC
  • InfiniBand
  • Financial Modeling
  • OM
  • Capital Market
  • Communication
  • Regulatory Compliance
  • Privacy
  • Financial Services
  • Finance
  • Economics
  • Computer Science
  • Performance Management
  • Project Management
  • Preventive Maintenance

Summary

Job Description

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 AI-driven applications that streamline pitch preparation, comparable analysis, diligence summarization, and market surveillance. This role blends deep investment-banking knowledge with hands-on AI engineering to deliver production-grade tools that enhance banker productivity and client outcomes.

Responsibilities

  • Design and build AI-powered tools for core IB workflows such as pitch decks, CIM drafting, comparable company analysis, and diligence summarization.
  • Own the end-to-end development cycle: data sourcing, LLM integration, back-end logic, and user-facing 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 high-friction 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, time-savings, and business impact; use data to continuously improve the AI program.
  • Navigate compliance, data-sensitivity, and regulatory constraints in collaboration with InfoSec and Legal teams.
  • Stay current with LLM advancements and evaluate cost/quality trade-offs for production deployment.

Qualifications

  • 2+ years of experience in investment banking, corporate finance, equity research, or a closely related financial-services role.
  • Hands-on experience building and deploying LLM-based applications beyond tutorials, including context pipelines and evaluation frameworks.
  • Full-stack prototyping skills: data integration, back-end logic, and user-interface 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 capital-markets 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, data-privacy, and regulatory requirements in a financial-services environment.
  • Bachelor's degree in finance, economics, computer science, engineering, or a quantitative discipline; advanced degree a plus.
  • Ownership mindset and judgment in ambiguous, fast-paced environments.

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

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  • Dice Id: EFC00501
  • Position Id: 542999a6eb4808045602b84a546cb923
  • Posted 1 day ago
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