Data Analyst

Zest AI•Burbank, CA

5d•$101,712 - $135,000•Remote

About The Position

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.

Requirements

Master's degree in Business Intelligence, Economics, Finance, Math, Computer Science, or related field and 2 months of experience.
2 months of experience with: Python, R, Java, or C++
2 months of experience with: Tactical problem solving
2 months of experience with: Quantitative analysis skills
2 months of experience with: Complex, data-driven problem solving
2 months of experience with: Visualization tools
Bachelor's degree in Business Intelligence, Economics, Finance, Math, Computer Science, or related field and 12 months of experience.
12 months of experience with: Python, R, Java, or C++
12 months of experience with: Tactical problem solving
12 months of experience with: Quantitative analysis skills
12 months of experience with: Complex, data-driven problem solving
12 months of experience with: Visualization tools

Responsibilities

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.