Associate Director - Credit Risk - Digital Infrastructure

Royal Bank of Canada•New York, NY

1d•$120,000 - $200,000•Onsite

About The Position

Join RBC as a credit risk manager specializing in data centers and AI infrastructure lending including power generation, GPUs and fiber. This position offers the opportunity to develop deep expertise in a rapidly evolving sector while influencing deal structures and risk mitigation strategies.

Requirements

Bachelor’s degree required
3–6 years in credit risk management at a major investment bank, commercial bank, or rating agency, preferably with some project finance experience.
Good understanding and willingness to grow knowledge base of hyperscale data center operators, AI infrastructure assets (incl. power generation and GPUs), and related project finance structures.
Proficiency in financial modeling, scenario analysis, and the ability to evaluate complex technical documentation.
High attention to detail with the ability to challenge assumptions and critically evaluate risk assessments.
Ability to articulate complex credit analysis clearly through written recommendations and presentations to senior management.

Nice To Haves

advanced degree (MBA, CFA) a plus

Responsibilities

Conduct comprehensive credit assessments of data centers and AI infrastructure borrowers across project finance, borrowing base, and corporate lending structures.
Analyze complex data center and AI infrastructure transactions, evaluating construction risk, operational risk, sponsor strength, and cash flow adequacy.
Work collaboratively with business teams early in the transaction lifecycle to identify key credit risks and recommend appropriate deal structures and mitigation strategies.
Review and adjudicate Credit Requests within agreed timelines, assign appropriate Risk Ratings, and escalate exceptions to applicable policies and guidelines.
Conduct timely risk assessments incorporating continuous monitoring of financial performance, industry trends, regulatory changes, and early warning signals.
Review complex financial models, conduct scenario analysis, and prepare peer group comparisons to support risk rating recommendations.