Director – Esoteric ABS, Denver, CO or Toronto

S&P Global•Englewood, CO

3d•Hybrid

About The Position

The Director will lead credit analysis across a portfolio of complex, non-traditional asset-backed structures within S&P Global Ratings’ Esoteric ABS team. The team evaluates credit risk for transactions backed by assets such as transportation, data centers, triple-net leases, whole business securitizations, timeshare facilities, and private equity structures. The role provides independent credit opinions and market perspectives on performance trends, issuance conditions, and evolving credit dynamics. This senior leadership position combines analytical authority, team development, and stakeholder engagement. The Director leads end-to-end credit and capital markets analysis, supports ratings and surveillance, guides rating committee discussions, and serves as an escalation point for complex analytical matters. The role also advances modern analytical practices, including responsible use of generative AI, advanced analytics, and automation, while maintaining human judgment, transparency, and accountability. The position is based in Denver, Colorado, or Toronto. Employees are required to work from an office at least two days per week, and final-stage candidates must attend at least one in-person interview, ordinarily at their nearest S&P Global Ratings office.

Requirements

Typically 10 or more years of relevant experience in structured finance, securitization, credit analysis, capital markets, or related fields.
Experience mentoring colleagues and/or managing small teams, with the ability to foster accountability, continuous improvement, and responsible AI adoption.
Strong credit expertise and the ability to deliver high-quality analytical output at pace across a complex, multi-asset portfolio.
Practical experience using generative AI, data, and advanced analytics tools to improve research, monitoring, drafting, and workflow efficiency, with strong validation and analytical discipline.
Strong relationship management skills and a proactive stakeholder engagement mindset.
Ability to communicate complex analytical insights clearly and credibly while maintaining analytical independence.
Bachelor’s degree or equivalent required.

Nice To Haves

Experience partnering with Data, Technology, Compliance, and Methodology teams to identify workflow improvements and scale best practices across the function.
Master’s degree or professional certification, such as CFA, is highly valued.
Academic backgrounds that support innovative and critical thinking are welcomed, including disciplines outside traditional finance.

Responsibilities

Lead, coach, and develop analysts, strengthening their credit expertise and ability to use generative AI, advanced analytics, and automation tools effectively.
Drive adoption of modern analytical practices across monitoring, drafting, research, and workflow execution while maintaining human judgment and accountability.
Lead end-to-end credit and capital markets analysis across an assigned portfolio of esoteric asset classes, including transportation ABS, private equity securitizations, triple-net leases, data centers, timeshares, and whole business structures.
Deliver forward-looking insights to support ratings, surveillance, and rating committee discussions.
Serve as a subject matter expert on cash flow analysis, transaction structures, and ratings criteria.
Lead rating committee discussions, review third-party model outputs, provide analytical guidance to junior team members, and act as the escalation point for complex analytical matters.
Build and maintain relationships with issuers, investors, bankers, legal counsel, and other market participants.
Contribute to thought leadership through commentaries, webinars, podcasts, and external market engagement activities.
Communicate complex, data-informed analysis clearly and credibly while maintaining analytical independence and objectivity.
Oversee portfolio risk, identify emerging risks early, and escalate them appropriately.
Apply rigorous controls to AI and automated outputs, ensuring transparency, explainability, and adherence to governance and regulatory standards.
Partner with Data, Technology, Compliance, and Methodology teams to identify workflow improvements and scale best practices across the function.