Engineering Manager - Money and Risk

Every payment that moves through Yuno has to be safe, and every cent has to add up. Our Money & Risk pillar is what makes that possible: it protects our clients from fraud and scams, and makes sure every transaction is reconciled, settled and accounted for.

As an Engineering Manager within Money & Risk, you will lead the engineers behind Risk Operations (fraud and scam prevention) and Money Operations (reconciliation and chargebacks) on a platform processing payments across 80+ countries.

You will own both the people strategy and the technical direction of a team that sits at the heart of our clients' trust in Yuno, operating in a fast-moving, global environment where accuracy, security and reliability are mission-critical.

Your Contribution Will Be

Team Leadership

• Lead and develop a multidisciplinary engineering team, fostering a culture of technical excellence, ownership, and continuous improvement.
• Mentor engineers at all levels, supporting their growth through coaching, structured feedback, and clear career expectations.
• Drive hiring processes to attract and retain top engineering talent globally.
• Create an environment where engineers are empowered to take ownership and deliver with autonomy and pace.

Technical Ownership

• Own the full lifecycle of Yuno's risk and money operations systems: fraud and scam detection, risk rules and scoring, reconciliation, settlement and chargeback management.
• Drive hands-on technical contribution through architecture design, code reviews, and complex troubleshooting, setting the technical bar for your team.
• Guide architectural decisions for high-throughput, real-time and batch systems where correctness matters, ensuring they are scalable, auditable, and cost-efficient.
• Set and enforce best practices across API design, testing, observability, data integrity, and documentation.
• Ensure the team follows secure development and data handling practices aligned with PCI-DSS, GDPR, and other compliance frameworks applicable to the payments industry.
• Champion an AI-first engineering culture, setting standards for AI-assisted development, automated testing, and LLM-powered workflows, ensuring your team treats these tools as a default, not an afterthought.

Cross-functional Execution

• Collaborate closely with Product, Data and ML, Finance, Compliance, and Customer Success teams in an agile environment to deliver against a fast-moving roadmap.
• Partner with Finance and Operations to make reconciliation and chargeback flows accurate, automated, and transparent for our clients.
• Drive the evolution of our risk and money platforms to support new markets, new payment providers, and growing regulatory requirements.
• Translate business priorities into engineering goals, managing trade-offs between speed, reliability, and technical debt.

Skills You Need

Minimum Qualifications

• Proven experience managing and growing software engineering teams, including hiring, coaching, and performance management.
• Strong ability to drive technical decision-making and manage competing priorities in a fast-paced environment.
• Experience in payments or fintech, ideally working on fraud prevention, risk, reconciliation, settlement, or chargebacks.
• Solid hands-on backend engineering background, with proficiency in Java, Golang, Kotlin, or similar languages.
• Strong understanding of microservices and event-driven architectures, APIs, and integration patterns.
• Experience with SQL and relational databases, and with systems where data accuracy and auditability are critical.
• Knowledge of secure software development practices and OWASP principles.
• Champion of AI-first development, with experience setting standards for AI-assisted coding, automated testing, and code generation using LLMs and tools like Claude Code or similar.
• Excellent communication skills, able to engage effectively with both technical and non-technical stakeholders.
• Experience delivering in agile environments, adapting processes to what actually works for the team.
• Professional proficiency in English, written and spoken.

Preferred Qualifications

• Experience building or integrating fraud detection, risk scoring, or rules engines, including ML-based models.
• Familiarity with card network rules and dispute processes (Visa, Mastercard), and with ledger, double-entry, or settlement systems.
• Experience with real-time streaming technologies such as Kafka, and with high-volume transactional data.
• Conversational Spanish is a plus.

What We Offer at Yuno

• Competitive Compensation.
• Remote Work: You can work from everywhere!
• Home Office Bonus: A one-time allowance to help you create your ideal home office.
• Work Equipment.
• Stock Options.
• Health Plan wherever you are.
• Flexible Days Off.
• Language, Professional, and Personal Growth courses.