IT, (Data & Analytics), Data Science
San Francisco, CA, USA
Posted on Wednesday, March 15, 2023
<div>At Nova Credit, our mission is to power a more fair and inclusive financial system for the world. Nova Credit’s diverse global team is stitching together the world's credit data into a single network to unlock financial opportunities for immigrants and other populations historically excluded from the credit system. We’ve built a platform that enables lenders to access a single, predictive cross-border credit database to help enable underwriting decisions. We are backed by leading investors, including Kleiner Perkins, General Catalyst, and Index Ventures, and are proud recipients of the following awards:</div><div><br></div><div>- Forbes’ <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=6ec895022ad7" class="postings-link">Best Startup Employers 2022</a></div><div>- BuiltIn NYC's Best Places to Work 2022: <a href="https://www.builtinnyc.com/awards/best-small-places-to-work-nyc-2022" class="postings-link">Best Small Companies to Work For</a></div><div>- Fast Company’s <a href="https://www.builtinnyc.com/awards/best-small-places-to-work-nyc-2022" class="postings-link">World’s Most Innovative Social Good Companies 2022</a></div><div><br></div><div>In International Data & Analytics, you will play an essential role in researching, designing, and building Nova Credit’s global data and analysis strategy. You will report to Nova Credit’s Head of Risk and Analytics. You will serve as a conduit to bring key functions together, including data partnerships, risk & analytics, product & engineering, and customer success to develop and implement Nova Credit’s core data systems. You will work with customer-facing teams to analytically demonstrate the strength of Nova Credit’s products and services. Ultimately, your role is to ensure that Nova Credit’s products deliver high-quality predictive risk signals. Every initiative you work on will be critical for the company’s success.</div>
Nova Credit is an equal opportunity employer.
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