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Raymond JamesPosted 3 weeks ago

Financial Engineering – Project & Structured Finance Analyst

$75,000–$125,000 year

RemoteUnited States

Full TimeLargeFinancial Services

Job Summary

Own significant portions of financial analyses and transaction workstreams while partnering directly with senior bankers to solve complex financing challenges. Develop, maintain, and enhance sophisticated Excel-based financial models evaluating debt capacity, project feasibility, capital structures, and long-term cash flow performance. Build and analyze complex financing structures incorporating multiple debt instruments, layered capital structures, and credit enhancement features for public agencies and nonprofit organizations. Perform scenario and sensitivity analysis to evaluate financing alternatives and prepare proposals for client communication. Identify opportunities to leverage automation and AI-assisted analytical tools to improve modeling efficiency. This role sits at the intersection of financial engineering and investment banking, focusing on expanding capital access for public-purpose borrowers.

Required Qualifications

  • Bachelor's degree
  • 3 to 6 years of experience
  • Expert-level Microsoft Excel skills
  • demonstrated experience building sophisticated financial or quantitative models
  • Strong quantitative reasoning
  • mathematical aptitude
  • analytical problem-solving capabilities
  • Ability to quickly understand, audit, modify, and enhance complex existing financial models
  • Ability to manage multiple concurrent projects in a fast-paced environment
  • Excellent attention to detail
  • commitment to analytical accuracy

Desired Qualifications

  • Master's degree
  • Experience in public finance
  • project finance
  • structured finance
  • investment banking
  • quantitative finance
  • engineering
  • another analytical field
  • Experience with optimization techniques (including linear optimization or mathematical programming)
  • Programming experience in Python
  • VBA
  • similar analytical languages
  • Familiarity with AI-assisted analytical tools
  • the ability to effectively incorporate emerging technologies into quantitative workflows

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