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Added
6 days ago
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About Abound

We’re on a mission to make affordable loans available to more people. Using the power of Open Banking, we have built state-of-the-art technology that allows us to look beyond traditional credit scores and offer fairer credit to people ignored by traditional lenders.

We have two parts of our business. On the consumer side, we have Abound. Abound has proven that our approach works at scale, with over £800 million lent to-date. While other lenders only look at your credit score, we use Open Banking to look at the full picture – what you earn, how you spend, and what’s left at the end.

On the B2B side, we have Render. Render is our award-winning software-as-a-service platform that allows Abound to make better, less risky lending decisions. And less risky decisions mean we can offer customers better rates than they can usually find elsewhere. We’re taking Render global so that more companies, from high-street banks to other fintechs, can offer affordable credit to their customers.

About the role:

We’re seeking a smart, hungry, and ambitious AI Engineer to join our global team, working in our Shenzhen office. You’ll focus on Generative AI, AI agents, and Python-based solutions for the consumer lending. If you’re passionate about cutting-edge AI, thrive in fast-paced environments, and want to shape the future of finance with AI, this is for you.

Who you are:

  • 1+ years of hands-on AI/ML experience (Gen AI/AI agents highly preferred)

  • Strong Python coding skills (NumPy, Pandas, async, API integrations)

  • Fluent in English (speaking, reading and writing)

  • Understanding of financial services is a big plus

  • Familiarity with GCP Vertex AI

  • Ability to learn fast and hustle harder.

What you'll be doing:

  • Build Gen AI solutions (AI agents) for automation, customer interactions and loan decisioning

  • Write clean, scalable Python code

  • Collaborate with UK/Shenzhen teams to integrate AI into business

  • Stay ahead of AI trends and propose innovative solutions.

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