Zolve, a global neobank providing cross-border financial services, today announced the appointment of Kin Chung to its leadership team in the United States.
Chung, Zolve's new Head of Credit and Risk, comes with a wealth of experience in the financial domain through several key leadership positions at global organizations. He has previously led multiple roles in credit and risk at companies, including MPower, FS Card, Ethos Lending, Fenway Summer, Fannie Mae, and Capital One.
At Zolve, Chung will oversee all aspects of the Credit & Risk function. He will lead Zolve's cross-border underwriting algorithm, account management, digital collections & building a state-of-the-art fraud control mechanisms.
Welcoming Chung, Raghunandan G, Zolve's Founder and Chief Executive Officer, said, "We are delighted to welcome Kin Chung as Head of Credit and Risk. We're excited to learn from Kin's experience and expertise and are looking forward to collaborating on some of the most challenging problems we've ever faced. We will continue to onboard exceptional talent to our leadership and other teams as we build and lead the company's next growth phase."
On his appointment, Chung said, "Zolve is making finances accessible to people moving borders, which no one has tried before. I have always wanted to be a part of an innovative startup that is making people's lives easier and creating a difference. I hope I will be able to make significant contributions to the already talented team here at Zolve."
This is the fourth strategic appointment at Zolve within a month, following the onboarding of Steve Freiberg from Citigroup, Anandapadmanabhan Ramabhadran from the Boston Consulting Group (BCG), and Douglas T. Hamilton as the Chief Compliance Officer. In addition to strengthening the leadership team in the United States, the startup is also looking for innovative and dynamic professionals to fill the roles of Senior Product Analyst; Product Manager, Fraud & Risk; and Collections Lead. Zolve also seeks candidates for marketing and Credit Risk Data Science roles.