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The Fraud Operations Analyst at Nelo will manage AI fraud investigation processes and AML operations. Responsibilities include curating cases, defining fraud signals, conducting investigations, and ensuring compliance with regulations while working closely with CX, Risk, Legal, and Engineering teams.

Lead credit risk strategy by analyzing bureau data, setting underwriting policies, improving loan performance and managing a credit portfolio in Mexico.

The Senior Software Engineer will improve backend systems supporting core product experiences, focusing on scale, reliability, and long-term maintainability while collaborating with teams on technical solutions.

The Customer Experience Specialist will provide empathetic support, analyze complex user scenarios, collaborate on automation, and improve support strategies in a fintech environment.

The Strategic Finance Senior Manager will own Nelo's financial modeling engine, focusing on detailed scenario planning, financial analysis, and communication to support business decisions and leadership engagement regarding growth, lending, and capital strategy.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

Join Nelo as a Senior Software Engineer to design and build scalable backend systems. Lead the transition from a Kotlin monolith to microservices, mentor engineers, and solve real problems with product teams. Enjoy autonomy, impact, and a supportive work environment.

The Credit Risk Manager/Director role focuses on maximizing gross profit and portfolio resilience through data analysis and policy adjustments, aiming for substantial profit gains through innovative strategies in credit risk management.

As a Senior Software Engineer at Nelo, you'll architect scalable backend systems, transition from a Kotlin monolith to microservices, mentor engineers, and collaborate with product teams to develop impactful software solutions.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.