.Do you want to change the world? At Cabify, that's what we're doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we've still got a long way to go...Fancy joining us?Right now, we have more than 20 million users around the world. We work across 8 countries and 90 cities, adapting our product fast to be leaders in all those markets and taking care about sustainability. About the position:How will you help us achieve our mission?Devote a limited part of your daily routine to core-work tasks such as tickets and manual review queues using the existing processes, policies and tools, where you will acquire expertise to mitigate losses derived from the abuse or malfunctioning of our payments platform.Stay on top of known fraud trends and key indicators to ensure early recognition of patterns, adequate reporting and adoption of swift reactive actions. Support and supervise fellow agents in the monitoring and reporting of key risk indicators to facilitate early detection/reporting and remediation of fraud attacks and system issues.Proactively identify opportunities to develop and enhance policies, tools and fraud prevention systems.Conduct deep-dive trend research, use advanced SQL, perform statistical analysis and build data visualizations to create and present business cases to stakeholders.Liaise with internal stakeholders and third-party service providers to support existing processes and change requests. What we're looking for:At least 4 years of data analysis experience in a tech or start-up environment. Advanced SQL skills as well as some working experience in business intelligence tools such as Tableau, DataStudio, Amplitude or similar.Strong ability to analyze data for patterns and extract knowledge from visualization tools; a good eye to spot and anticipate fraudulent behaviors in new company-wide initiatives.Able to write complex SQL queries, draw insights from large data volumes and make data-driven recommendations considering risk vs business trade-offs. Great problem solving, critical thinking and business acumen skills. Proficiency in prioritizing and working independently within a fast-paced environment.Excellent writing skills, able to generate documentation such as incident/trend reports, project plans and business cases. Comfortable negotiating with internal stakeholders to build and maintain long-lasting and effective relationships.Integrity in maintaining high levels of confidentiality while performing investigations.Language: Fluency in written and spoken English (intermediate level) is a must, knowledge of another language, a plus.Previous experience with the payments and fraud industry is a plus. Working experience with in-house or third-party anti-fraud tools. Knowledge of Sift is also a plus. Education: bachelor's degree or equivalent