Engineering Lead, Credit Risk

🕒 6 dias atrás

🌐 Argentina, República Dominicana, +1 outros países – Remoto

🇦🇷 Argentina – Remoto 🇩🇴 República Dominicana – Remoto 🇨🇴 Colômbia – Remoto

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 12%

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Kiwi

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2020

🛡️ Seguros

💼 Consultoria

💳 Fintech

💰 $75.000.000 Debt Financing em 2023-05

Insurance • Consulting • Fintech

Kiwi é uma plataforma líder que ajuda latinos residentes nos Estados Unidos, que podem ter dados de crédito e acesso a capital limitados, a construir histórico de crédito através de linhas de crédito sem garantia e programas alternativos de construção de crédito. Sendo o segmento minoritário que mais cresce nos EUA, espera-se que o mercado latino alcance mais de 100 milhões nas próximas décadas.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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