Credit Analyst

Title: Credit Analyst
Location: Remote

About the job

We are looking for a Credit Analyst to write, review, and validate prompt-based questions designed to train AI models in credit risk and lending workflows.

Your expertise in credit risk analysis, financial statement review, loan underwriting, and industry evaluation will ensure each prompt and response accurately reflects how professionals assess borrower creditworthiness and make sound lending decisions. You’ll help shape how AI understands and simulates lending processes, financial health analysis, and regulatory compliance in banking, lending, or corporate finance.

You are a good fit if you:

• Have 3+ years of experience in credit analysis, underwriting, or commercial lending
• Hold a bachelor’s degree in finance, accounting, business, or a related field
• Are currently based in the United States, United Kingdom, or Canada
• Have strong skills in assessing borrower financial health, analyzing income statements and balance sheets, reviewing credit reports, conducting industry risk reviews, preparing credit memos, and recommending loan terms
• Demonstrate excellent verbal and written communication skills
• Have strong attention to detail

Role Highlights

• Flexible workload: 10–20 hours per week, with potential to increase up to 40 hours
• Fully remote and asynchronous—work on your own schedule
• Minimum duration: 1–2 months, with potential for extension

Role Start Date

This role is expected to begin in mid to late September. Applications are reviewed on a rolling basis.

Compensation and Legal Details

• You will work as an hourly contractor
• Compensation is competitive and paid weekly

About Us

SCALIS is a Miami-based, venture-backed AI hiring platform dedicated to helping job seekers find their best career fit faster and smarter. By leveraging advanced AI matchmaking and personalized recommendations, we connect candidates with opportunities that truly match their skills and ambitions. Our mission is to make job searching more efficient, fair, and transparent for professionals worldwide.

Apply today and help shape the future of AI-driven credit risk analysis!