Senior Analyst, Credit

About this role

About Engine Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents. That work has earned Engine recognition as TravelTech's Reservation Platform of the Year (2026), a spot on Inc.'s Power Partners list (2026), and one of Built In's Best Places to Work (2020–2026).

We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar. Come outpace the ordinary and build the future of travel with us. About the Role Engine X is a corporate card and spend management product with a growing application volume that requires rigorous, fast credit decisioning.

The Sr. Credit Analyst owns the full underwriting cycle — application review, KYB, limit-setting, documentation, and escalation — with the analytical judgment to execute independently and the instinct to flag what the team needs to know. What You'll Do Work the Engine X credit underwriting queue from receipt to decision — applying the credit decision framework with speed and documented rationale. Run KYB verification — validate business identity, interpret D&B and equivalent bureau data, and assess creditworthiness for each application.

Actively flag steps in the underwriting workflow that can be systematized or removed — we're building toward a decision engine, and your observations from the queue feed that build. Document every decision to the standard required for exception review and regulatory defensibility — notes that stand on their own without verbal explanation. Identify patterns across applications — shared signals, exception trends, emerging risk indicators — and surface them proactively rather than treating each application in isolation.