(MENAFN- GetNews) Glendale, CA - November 10, 2025 - RadCred, an AI-powered loan marketplace, today announced three open positions: Staff Engineer, AI Operations Analyst, and AI Data Researcher. All roles are remote-first and support RadCred's mission to expand credit access through responsible AI lending.

As fintech lending increasingly relies on AI, regulators and market participants demand stronger guardrails around algorithmic fairness. RadCred is hiring deliberately to address this challenge, ensuring its platform meets compliance standards while maintaining product excellence.

"We're building trust in AI credit solutions," said Alex Zadorian, CEO of RadCred. "These three roles are essential to that mission. We need engineering strength to scale securely, operational support to monitor AI constantly, and research to identify and fix algorithmic blind spots."

Open Positions at RadCredStaff Engineer, Platform

RadCred seeks a senior engineer to lead platform architecture and scalability. This role owns technical direction for systems processing 100,000+ monthly applications while maintaining security and reliability. The Staff Engineer will define infrastructure strategy, mentor a growing team, and make critical tech decisions.

Ideal Candidate:

• 7+ years software engineering experience (fintech or high-scale systems preferred)

• Deep expertise in distributed systems, database design, or cloud infrastructure

• Proven ability to lead technical strategy and mentor engineers

• Experience building systems handling sensitive financial data

AI Operations Analyst

This role monitors RadCred's AI models in real-time, tracking decision accuracy, processing speed, and funding outcomes. The analyst conducts ongoing bias audits across demographic segments to ensure fairness. They'll build dashboards translating AI decisions into business insights, directly influencing model refinements.

Ideal Candidate:

• 2-4 years data analytics or operations experience (fintech/lending preferred)

• Strong SQL and Python skills (pandas, NumPy)

• Expertise with visualization tools (Tableau, Looker, Power BI)

• Experience designing A/B tests or statistical experiments

• Commitment to financial inclusion and responsible AI

AI Data Researcher

RadCred seeks a researcher to identify gaps in lending models and explore new evaluation methods. This role involves designing experiments testing alternative credit indicators (income patterns, utility payments, banking behavior), researching competitive approaches, and publishing findings. The researcher directly influences product strategy and lending fairness.

Ideal Candidate:

• Background in economics, statistics, data science, or behavioral research (2+ years)

• Comfortable with Python, R, or SQL for data analysis

• Experience designing rigorous experiments or academic research

• Demonstrated curiosity about fairness, bias, and lending practices

• Track record publishing research or building predictive models

Why Join RadCred

Work on problems that matter. You'll shape how AI approaches credit fairness while directly influencing lending decisions affecting millions of underserved borrowers. Remote-first, mission-driven culture with competitive salary and benefits. Early-stage opportunity to move the fintech lending conversation forward.

"You're building systems that affect real people's access to credit. That's the opportunity here," Zadorian added.

How to Apply

Send resume and a brief description of relevant experience to ... with role and name in the subject line. RadCred reviews applications on a rolling basis.

About RadCred

RadCred is a U.S.-based AI loan marketplace connecting borrowers with licensed lenders. The platform uses alternative data and machine learning to evaluate creditworthiness beyond traditional credit scores, serving borrowers across all credit profiles.

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Disclaimer

RadCred is not a direct lender and does not make credit decisions. Loan terms, rates, and approvals vary by lender and state regulations. This release is for informational purposes; applicants should review all employment terms and lender disclosures before accepting offers.

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