Engineering Lead, Credit Risk

🔥 1 hour ago

🌐 Argentina, Dominican Republic, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇩🇴 Dominican Republic – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kiwi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🛡️ Insurance

💼 Consulting

💳 Fintech

💰 $75M Debt Financing on 2023-05

Insurance • Consulting • Fintech

Kiwi is a financial technology company that specializes in providing personal loans and credit-building services. Customers can quickly apply for loans online, with amounts available up to $3,000, without affecting their credit scores. The platform offers a fully digital experience, flexible payment options, and automated payment systems to help users manage their loans easily and securely. Kiwi is committed to protecting user data and reporting payments to credit bureaus to assist clients in building their credit history.

📋 Description

• Lead the Credit Risk Engineering team, setting technical direction, planning delivery, mentoring engineers, reviewing code, and contributing hands-on to critical work • Design, build, and operate backend services and APIs integrating risk capabilities into Kiwi's lending products • Improve reliability of credit decision flows across services and external dependencies, including API contracts, latency, timeouts, failure handling, observability, and incident response • Partner with Credit Risk and Data Science to integrate models into production and improve MLOps practices, including deployment automation, versioning, testing, monitoring, and rollback • Improve architecture and maintainability of risk services and integrations while addressing technical debt and delivering new risk capabilities

🎯 Requirements

• Experience leading engineers while remaining hands-on with system design, implementation, and production support • Strong backend engineering experience with TypeScript and Node.js, including building and operating APIs and microservices • Experience integrating services into critical customer flows, with a solid understanding of latency, timeouts, partial failures, retries, and observability • Proven hands-on experience with MLOps in production, including model deployment, versioning, monitoring, and rollback • Working knowledge of Python and experience collaborating on systems that serve machine learning models in production • Experience deploying and operating containerized services on AWS, using Docker and CI/CD pipelines • Strong SQL and PostgreSQL skills, including investigating data quality and production issues • Strong technical judgment and the ability to work effectively across Engineering, Credit Risk, and Data Science • English level of at least intermediate • Previous experience working within similar roles • Experience in fintech companies

🏖️ Benefits

• The opportunity to work on critical financial products with direct impact on customers and business growth • High technical ownership and the opportunity to shape how Kiwi's credit risk technology evolves • Meaningful challenges across backend architecture, production integrations, reliability, and MLOps • An engineering environment where AI is becoming a core part of how we build software • A collaborative multidisciplinary team across Engineering, Credit Risk, Data Science, Product, QA, and Platform • 100% remote — Argentina, the Dominican Republic, or Colombia