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PatientFi

Credit Analyst

Sorry, this job was removed at 12:14 a.m. (CST) on Wednesday, Apr 22, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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Company Description

PatientFi® is a technology-based, point-of-sale financing company in Irvine, CA that partners with healthcare providers to offer patients a friendly payment solution for out-of-pocket medical and dental procedures. The company serves various healthcare specialties, including plastic surgery, dermatology, ophthalmology, dentistry, fertility, and medical spas. PatientFi's mission is to expand patient access to elective healthcare treatments by removing the cost barrier and providing patients with a convenient payment option.


Job Description

 

As a Credit Analyst at PatientFi, you will play a key role in creating consumer credit strategies to increase profitability and mitigate credit risk. You will work with multiple complex data sources, such as credit bureau reports and cashflow data, to optimize underwriting decisions, evaluate new opportunities, and increase portfolio profitability.  In addition to new credit strategies, you will also proactively monitor credit performance to uncover hidden trends and insights about our customers.

 

What You'll Do

      Analyze Consumer Credit Risks: Review and underwrite unsecured consumer loan applications through our provider network to find opportunities to increase approval rates and credit limits while minimizing losses.

 

      Technical Capabilities: Solid understanding time series analysis, consumer credit behavior, and statistical concepts.  Ability to summarize complex solutions using data (SQL/SAS/Python), leverage data visualization tools, and integrate LLM’s into your workflow for efficiencies and insights.

 

      Portfolio Evaluation: Monitor the performance of our loan portfolio, identifying early delinquency trends and assisting in the preparation of monthly and quarterly credit risk evaluations.

 

      Organizational Collaboration: Work with the Data Science and other teams within PatientFi to collaborate on new initiatives, deploy new credit changes and find portfolio improvements.

 

      Policy & Compliance:  Ensure all underwriting decisions strictly adhere to PatientFi’s internal credit policies as well as applicable state and federal regulations (i.e. FCRA, ECOA/Reg B, UDAAP, TILA/Reg Z).

 

 

The requirements listed are representative, but not all-inclusive of the knowledge, skills, and/or abilities needed to perform successfully in this position.

 

Basic Qualifications

      Experience: 1–3 years of experience in consumer credit underwriting, risk analysis, or a related financial services role. 

 

      Education: Bachelor’s degree in Finance, Economics, Statistics, or a related quantitative field.

 

      Credit Knowledge: Understanding loan mechanics, origination quality and credit performance analytics.

 

      Analytical Skills: Proficiency in Google and/or Microsoft business suite (Sheets/Excel/PPT), and comfort working with large datasets (SQL/SAS/Python).

 

      Regulatory Awareness: Familiarity with key US consumer lending regulations, including the Fair Credit Reporting Act (FCRA) and the Equal Credit Opportunity Act (ECOA).

 

 

Preferred Qualifications

      2+ years of experience at a Fintech or Unsecured Lending Financial Institution.

      Familiarity with POC and/or B2B2C lending businesses.

      Proven experience implementing meaningful changes to underwriting outcomes through portfolio analysis.

      Self-motivated and well adapted to working with remote teams and startup culture.

 

 

Benefits:

      Base salary range: $60K - $90K

      Remote Work

      Medical, dental, and vision premiums covered at 80% for employees and dependents

      Unlimited PTO

      401(k)

      Parental leave

      AD&D policy provided at no cost to employees

(NOTE: At this time, PatientFi is unable to sponsor or take over sponsorship of an employment Visa.)

      PatientFi provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristics protected by federal, state or local law.

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