Fraud Operations Team Lead

Remote Full-time
Why should you join dLocal ? dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team. What's the opportunity? We are seeking a Fraud Operations Team Lead to join our Fraud Prevention team. The successful candidate will lead a team responsible for detecting and reporting issues, driving corrective actions, and ensuring accurate technical merchant support on fraud-related requirements. What will I be doing? Leading Fraud Operations across APAC and EMEA, managing analyst hubs and diverse work cells. Coordinating closely with the LATAM FraudOps team to ensure global alignment. Analyzing complex data, solving challenging problems, and making informed decisions with limited information. Overseeing alert monitoring, fraud pattern detection, and process/platform optimization. Driving AI-based automation initiatives to enhance efficiency and scalability. Tracking and reporting fraud-related statistics and metrics. Maintaining and reviewing fraud incident reports and related analyses. Ensuring all chargeback processes comply with regulatory standards, fostering strong merchant and partner relationships. Reporting on fraudulent vs. service-related chargebacks, actions taken, and results achieved. Collaborating with payment processors and external stakeholders. Compiling and presenting data from multiple databases to produce actionable metrics and reports. What skills do I need? Bachelor’s degree in Economics, Engineering, Statistics, or a related field. Master’s degree in a relevant field is a strong plus. Extensive experience in Fraud Prevention. Proven track record in leading teams effectively. Strong expertise in working with large datasets; SQL proficiency is required. Knowledge of Python or other programming languages is a plus. Excellent analytical skills with a passion for pattern detection and problem-solving. Highly motivated, proactive, and a strong team player. Experience managing Fraud KPIs and SLAs. Fluency in English and Spanish (spoken and written). What do we offer? Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you: - Flexibility: We have flexible schedules, and we are driven by performance. - Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity. - Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded. - Learning & development: get access to a Premium Coursera subscription. - Language classes: we provide free English, Spanish, or Portuguese classes. - Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections! - dLocal Houses: want to rent a house to spend one week anywhere in the world, coworking with your team? We’ve got your back! What happens after you apply? Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process! Also, you can check out our webpage , Linkedin , Instagram , and Youtube for more about dLocal ! Originally posted on Himalayas
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