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:
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:
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.
Since 2009, Zest AI has been pioneering and perfecting AI technology with a mission to broaden access to lending using smarter, more efficient AI.
Serving more than $5.6T in managed assets with over 600 active models, Zest AI has been a proven partner to banks, credit unions, and specialty lenders, helping them decrease risk and boost growth opportunities throughout the lending process.
Zest AI leads the industry, powering thriving lending ecosystems with innovative, intelligent solutions across marketing, underwriting, fraud detection, lending intelligence, and more. With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, this US-based technology-as-a-service company serves its clients from its headquarters in Los Angeles, California, and across the country.
