Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia—building one of the most robust datasets on thin-file borrowers anywhere in the world. Our mission is simple yet bold: to unleash the economic power of the global majority. We are looking for daring, data-driven leaders passionate about building the trust and credit infrastructure for the global majority.

 

Our pioneering work and proven impact have earned us consistent recognition, including being named to:

CNBC’s Disruptor 50 for five years.

CNBC’s World's Top Fintech Companies for two consecutive years.

Forbes’ Fintech 50 list for nine consecutive years.

Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.

 

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

 

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

We are seeking an experienced, impact-oriented credit leader to own Tala's Expansion Markets risk function, covering our growth D2C markets and our Partnership (B2B2C) underwriting. The candidate will report to the Director of Risk and will be the key analytical and strategic owner for these portfolios - responsible for risk performance monitoring, strategy development and implementation, and cross-functional execution with Product and Data Science squads. A defining element of this role is the ability to translate both current portfolio performance and long-term forward-looking expectations into risk strategy - including in markets where data histories are still maturing and conviction must be built from first principles, lending intuition, and structured judgment rather than established baselines.

The ideal candidate is a strong credit practitioner who combines analytical rigor with strategic instinct and consumer lending intuition. They are equally comfortable synthesizing net new data points into a credible underwriting strategy for a partnership pilot as they are partnering with Product to shape decisioning roadmaps. They thrive in ambiguity, move with urgency, and communicate with precision.