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Zest AI is a software company focused on helping lenders make better credit decisions using machine learning. Its core aim is to improve how credit risk is assessed, so financial institutions can approve more applicants who are creditworthy while managing risk responsibly. In practice, this means building tools that can analyse a wider range of data than traditional scorecards, produce explainable outputs, and support teams that need to justify decisions in regulated environments.

The company primarily serves organisations involved in consumer lending, such as banks, credit unions and other lenders that originate and manage loans. These customers tend to operate at scale and under strict compliance requirements, so reliability, transparency and governance matter as much as model performance. Job seekers can expect the product and delivery work to be closely tied to real world outcomes, including approval rates, portfolio performance and fair lending considerations.

Within the SaaS ecosystem, Zest AI sits at the intersection of fintech and applied AI, providing enterprise software that plugs into a lender’s existing decisioning and risk infrastructure. The work is likely to involve complex integrations, data pipelines and model lifecycle management, alongside security and audit needs that come with financial services. Compared with consumer SaaS, sales cycles and implementations may be longer, but the problems are often substantial and the impact of improvements is measurable.

People who thrive at Zest AI are likely to include software engineers who enjoy building robust platforms, data and machine learning specialists who care about deploying models responsibly, and product and customer facing professionals who can translate between technical teams and lending operations. Experience with regulated industries, model risk management, explainability, and production ML practices is likely to be valuable, as is comfort working with large datasets and collaborating across disciplines.

For candidates considering Zest AI, the appeal is often the combination of a clear mission, improving access to credit while keeping lending safe, and the chance to work on technically demanding products used by established financial institutions. It is a setting where rigour matters, documentation and testing are taken seriously, and success depends on balancing innovation with trust, compliance and practical adoption by customers.