Fraud Strategy Specialist

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 “Endeve­ur 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 looking for a strategic Fraud Strategy Specialist who can bridge the gap between data insights and business action. This role goes beyond analysis—you’ll be responsible for shaping our fraud prevention strategy, influencing stakeholders across the organization, and driving initiatives that protect our customers while enabling growth. The ideal candidate combines deep fraud domain expertise with strong analytical capabilities and strategic thinking. You’ll work at the intersection of Data Science, Product, Operations, Risk, and Senior Management to define problems, prioritize solutions, and lead cross‑functional initiatives that strengthen our fraud defenses. This role is critical to protecting millions of Latinos in the United States while ensuring a seamless customer experience. Responsibilities Support strategic fraud prevention initiatives by defining problems through data research and synthesis, building stakeholder consensus, and translating findings into business recommendations that drive organizational action. Conduct deep‑drop analyses on fraud schemes, money laundering patterns, and emerging threats across payment systems to uncover risky behaviors and develop actionable insights. Partner with machine learning teams to inform fraud model development and deployment strategies, providing domain expertise on fraud patterns and feature engineering. Develop prioritization frameworks and roadmaps for fraud strategy initiatives, leading cross‑functional projects from concept to implementation. Apply risk management principles to balance fraud prevention with customer experience, designing iterative tests to validate solution effectiveness. Influence decision‑making across teams without direct authority through clear communication to both technical and non‑technical audiences. Collaborate with Data Science, Product, Operations, and Investigations teams to frame fraud problems in ways that mobilize organizational action. Requirements Bachelor’s degree in Mathematics, Economics, Computer Science, Statistics, Data Science, or related field. 3–5 years of professional experience in data‑related roles (Data Analyst, Data Scientist, Business Analytics, or similar). 2+ years of work experience in Risk, Fraud investigations, trust & safety. Advanced SQL and Python skills with demonstrated ability to work with large datasets and perform complex data analysis. Deep knowledge of fraud schemes, money laundering flows, organized fraud operations, and payment systems (cards, ACH, wire transfers, settlement timing). Understanding of machine learning model concepts and their application to fraud detection (development skills not required). Strong statistical foundation including hypothesis testing, regression, and classification algorithms. Experience with BI tools such as Looker, Tableau, or similar for dashboard and visualization design. Proven track record of leading cross‑functional projects and building stakeholder consensus. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information to draw meaningful insights from complex data sets with attention to detail and accuracy. Strong communication skills with ability to present to both technical and non‑technical audiences. Strategic thinking and creative problem‑solving abilities with intellectual curiosity about emerging threats. Advanced English level. Curious and love to go deep into the data to find fraudsters. 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 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. #J-18808-Ljbffr