Software Engineer (Fraud) at Félix

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Detection, Risk Management, Python, Kotlin, Java, Golang, Event-Driven Architectures, Real-Time Processing, Database Optimization, Observability, Alerting, Anomaly Detection, Transaction Monitoring, Feature Engineering, Compliance, System Security

Industry

Financial Services

Description

About Us At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before. We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award. We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers. We are all owners of Félix, driven by a bias for action and a true experimentation spirit to get shit done with urgency and focus. Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long. We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence. We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better. We are building the future, today. About the Role We are seeking a Software Engineer with deep expertise in Fraud and Risk Management systems, specifically within Fintech environments. As a key engineer in our Risk & Fraud domain, you will design and build scalable, resilient fraud detection and prevention platforms, lead cross-functional initiatives, and contribute to our long-term architecture and product strategy. Responsibilities: Architect and deploy high-throughput, low-latency fraud detection systems that protect our customers and capital in real-time Take ownership of the fraud engine lifecycle—from initial data modeling and rule-setting to production monitoring and incident response. Work cross-functionally with Product, Compliance, Data Science, and Ops to translate complex risk patterns into automated technical solutions. Drive the integration of third-party data providers and internal services into a unified fraud decisioning platform Collaborate with platform, infrastructure, and security teams to uphold compliance, scalability, and deployment best practices Mentor junior engineers and uphold high standards for code quality, resilience, and system security as we scale our fintech infrastructure. Requirements Must-Have 5+ years of professional software engineering experience, with at least 2+ years working on fraud, risk, or financial crime prevention platforms. Proficiency in backend languages such as Python, Kotlin, Java, Golang, or similar. Experience building or working with platform systems, event-driven architectures and real-time processing systems (Kafka, Pub/Sub, Flink, or equivalent). Deep understanding of fraud detection concepts, including: Risk scoring and rule engines Fraud signals and feature engineering Velocity limits, anomaly detection Transaction monitoring False positive/negative tuning Strong knowledge of databases, caching, and system performance optimization. Hands-on experience with observability and alerting in high-sensitivity systems. Nice-to-Have Exposure to regulatory concerns around KYC, AML, PSD2, 3DSecure, CCPA, GDPR, LGPD. Familiarity with integrating third-party providers like Seon, Sardine, Sift, Feedzai, or Socure. These are the applicable requisites, although equivalent competencies in any of the above will also be considered. What We Offer Competitive salary Initial stock options grant Annual performance bonus Health, dental, and vision plans 401(k) Remote work environment, although we have offices in Miami and México City and would love to work in a hybrid model if you are up to it. Continuous learning opportunities Unlimited PTO Paid parental leave Empowering opportunities for growth in a dynamic entrepreneurial environment Equal Opportunity Employer At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination. Want to learn more about our privacy practices? Check out our Privacy Policy.

Responsibilities

The Software Engineer will design and build scalable fraud detection systems and take ownership of the fraud engine lifecycle. They will also work cross-functionally to translate complex risk patterns into automated solutions.