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Data Analyst

Zest AIRemoteBurbank, CaliforniaPosted Aug 5, 2026

Compensation

$101,712 - $135,000 /yr

Type

Full-time

Location

Burbank, California

Posted

Aug 5, 2026

Requirements Summary

Requires a Master's degree with 2 months of experience or a Bachelor's degree with 12 months of experience in a relevant field. Candidates must possess skills in programming languages like Python, R, Java, or C++, along with quantitative and problem-solving abilities.

Core Responsibilities

Translate unstructured business problems into quantitative analysis projects and evaluate the performance of credit models. Collaborate with cross-functional teams to deliver value from machine learning models and iterate on internal software tools.

Key Skills

PythonRJavaC++Tactical problem solvingQuantitative analysisData-driven problem solvingVisualization toolsMachine learningRisk analysisEconomic forecastingCredit policy analysisStatistical modelingBusiness intelligence

Company Information

  • Industry: Financial Services
  • Company Size: 51-200 employees
  • Type: Privately Held
  • Specialties: Fintech, Financial Services, Banks, Credit Unions, AI in lending, Financial fraud prevention, Credit underwriting, AI, Generative AI, Machine learning, Financial Institutions, Lending, Credit, Consumer Credit, Fraud Detection, Community Banks, and Auto Lending

Government Experience

  • Government Experience Preferred: policy analysis

Full Job Description

About Zest AI: Zest AI has been perfecting AI for consumer lending decisions since 2009. Our Model Management System helps lenders make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Our mission is to make fair and transparent credit available to everyone and our software creates some of the most inclusive risk models in the industry. Using Zest-built machine learning software, financial institutions can dramatically expand credit access to deserving people with no added risk. Learn more at Zest.ai and connect with us on Twitter @Zest_AI or our Insights blog. Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply. ZestFinance, Inc. dba ZEST AI seeks Data Analysts in Burbank, CA. Duties: Translate unstructured business problems into well-defined quantitative analysis projects. Work closely with a team of ML scientists/engineers to evaluate the statistical and economic performance of various credit models against specific business objectives. Deliver a wide range of analysis results throughout client projects, e.g., risk analysis, economic forecasts, fairness analysis, credit policy analysis. Collaborate with a cross-functional team of Data Scientists, Engineers, Product managers, Sales & Customer managers to identify and deliver value derived from our ML models. Test, iterate, and drive the development of internal and external software tools. Requires a Master's degree in Business Intelligence, Economics, Finance, Math, Computer Science, or related field and 2 months of experience. Requires 2 months of experience with: Python, R, Java, or C++ Tactical problem solving Quantitative analysis skills Complex, data-driven problem solving Visualization tools Alternatively, employer will accept a Bachelor's degree in Business Intelligence, Economics, Finance, Math, Computer Science, or related field and 12 months of experience. Requires 12 months of experience with: Python, R, Java, or C++ Tactical problem solving Quantitative analysis skills Complex, data-driven problem solving Visualization tools Medical/Vision, Dental, & Retirement benefits available. Telecommuting is permitted. 40 hours/week, Wage Range: $101,712 - $135,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #44992. By submitting this application, I acknowledge and confirm that I have reviewed the Employment Privacy Policy and agree to the use of my information as set forth in the Policy.

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