Underwriting Intern
$45,760–$56,160 year
On-siteCalabasas, California, United States
Job Summary
Conduct background checks on prospective and existing reseller partners using designated screening tools and verification platforms. Review identity and business verification documents for completeness and consistency, flagging discrepancies or missing information for escalation. Perform data entry and maintain accurate records throughout the underwriting review process while following established procedures and checklists. Partner with cross-functional teams to support a coordinated, end-to-end underwriting and partner onboarding workflow, assisting with ad hoc reporting and special projects as assigned. This internship offers hands-on experience working with real business data in partnership with business professionals applying advanced analytics in the payments space. The role focuses on application processing, underwriting, onboarding, and risk monitoring to dramatically increase speed and efficiency of merchant onboarding while mitigating risk through improved analytics and automation.
Required Qualifications
- Pursuing a degree in Business Analytics, Data Science, Finance, Computer Science, or a related field
- Interest and previous professional engagement in finance, fintech or payments
- Proven to have exceptional communication, interpersonal, listening, presentation, influence, collaboration, team and change management skills
- Exceptionally strong analytical, innovative and problem-solving skills
- Experience working across diverse, cross-functional teams to influence decisions and drive positive business results
- Exposure to business clients, key accounts or core business partners
- Proficiency in Excel
- Exposure to SQL, Python, or BI tools (Power BI, Tableau)
- Exposure to applied machine learning, AI Agents (Make, n8n, Lovable)
- This internship reports onsite to our offices in Calabasas, CA
Desired Qualifications
- Proficiency in Excel; exposure to SQL, Python, or BI tools (Power BI, Tableau) preferred
- Exposure to applied machine learning, AI Agents (Make, n8n, Lovable)
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