General Interest - Internal Referrals
关于 Zest AI:自2009年以来，ZestAI 一直在完善 AI 用于消费者贷款决策。我们的模型管理系统帮助借款人做出更好的决定和更好的贷款增加收入，减少风险和自动化合规性。我们的使命是为所有人都提供公平透明的信用，我们的软件创造了行业中最包容性的风险模式。使用 Zest 构建的机器学习软件，金融机构可以大幅扩大资格向有权的人获得信贷，没有额外风险。在 Zest.ai 了解更多信息并通过 Twitter@Zest_AI 或我们的见解博客联系我们。泽斯特致力于多样性，公平和包容性，并鼓励技术和金融服务领域的受代表不足群体的专业人员申请。我们为员工推创建了一个"一般利益职位公告".请在提交推时使用此帖子。如何提交推：·通过普通利益工作公告提交推。· 在应用程序或注释部分中明确列出：·你将他们推到任何相关团队或功能 （如有所需）·包括你认为他们是什么原因强大的合适的一个简要说明。获得推信用步骤 （必需）: 提交推后，请与大卫和克里斯创建一个 Slack 组聊天，并发送：· 候选人名字·你标记的角色• 与候选人的关系 （例如：前同事，经理，同学等）·任何帮助优先级推的快速背景将只会被归功于提交和 Slack 通知完成时。感谢你帮助我们培养出有才华的人群。
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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.
We’ve created a “General Interest” job posting for employee referrals. Please use this posting when submitting referrals going forward.
How to submit a referral:
- Submit your referral through the General Interest job post.
- In the application or notes section, clearly list:
- The specific role(s) you are referring them for
- Any relevant team or function (if applicable)
- Include a short summary of why you believe they’re a strong fit.
To receive referral credit (required step):
After you submit the referral, please create a Slack group chat with David and Chris and send:
- The candidate’s name
- The role(s) you tagged them for
- Your relationship to the candidate (ex: former coworker, manager, classmate, etc.)
- Any quick context that would help with prioritization
Referrals will only be credited if both the submission and Slack notification are completed.
Thanks for helping us grow the team with great talent 🚀
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.
Originally posted on Himalayas