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Greenhouse
Compliance Data, Operations & Solutions Junior Analyst
Ebanx · Curitiba or São Paulo | On-site
Publicada em 29/10/2026
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p style= text-align: justify; /p div At EBANX, you’ll help expand access to payments and technology in some of the world’s most dynamic markets. We’re a strong unicorn-status fintech /strong , strong AI-powered /strong , and scaling fast across strong 29 countries and counting /strong . /div div br Our platform connects leading global companies to more than strong 1 billion consumers /strong , enabling seamless cross-border payments where it matters most. We build with purpose, move with speed, and create solutions that are both innovative and inclusive. /div div br If you’re looking to be part of a company that’s transforming the future of payments with strong clarity /strong , strong ambition /strong , and strong real-world impact /strong — we’d love to meet you. /div p style= text-align: justify; /p h3 style= text-align: justify; /h3 div strong About the Role /strong br We are looking for a strong Compliance Data, Operations amp; Solutions Junior Analyst /strong to join our Global Compliance team and help us build a more data-driven, efficient, and scalable operation. br br As EBANX continues to expand globally, our Compliance processes and controls need to evolve alongside the business. Data quality, automation, and technology are essential to making this possible, and this role will contribute directly to that transformation. br You will work at the intersection of data, technology, and Compliance, supporting the development of solutions that reduce manual work, improve operational efficiency, strengthen controls, and enable better decision-making. You will also have the opportunity to explore emerging technologies, including artificial intelligence, and apply them to real operational challenges. br br strong What You'll Do /strong /div ul li Extract, process, organize, and analyze data to support Compliance operations, monitoring activities, reporting, and decision-making. /li li Develop and maintain dashboards, reports, and performance indicators to improve visibility into Compliance processes and results. /li li Identify opportunities to automate repetitive tasks, reduce manual work, and improve operational efficiency. /li li Develop and support automation solutions using tools such as Python, SQL, APIs, and AI-based technologies. /li li Contribute to improving data quality, reliability, and accessibility across Compliance processes. /li li Support the development, review, and optimization of monitoring rules and controls, including initiatives to reduce false positives. /li li Explore and test new technologies, including artificial intelligence, to improve existing workflows and develop more scalable solutions. /li li Collaborate with Data Engineering, Software Engineering, and other internal teams to translate operational needs into practical technological solutions. /li li Support continuous improvement initiatives that help Compliance scale alongside EBANX's global expansion. /li /ul div br br strong What We're Looking For /strong /div ul li Currently pursuing or holding a degree in Data Science, Information Systems, Computer Science, Engineering, Economics, Business Administration, or related fields. /li li Knowledge of Python for data manipulation, process automation, and integration with APIs. /li li Intermediate SQL skills, including querying, joining, and transforming data. /li li Familiarity with data analysis and visualization tools. /li li Basic understanding of data structures, statistics, and analytical problem-solving. /li li Strong analytical thinking, attention to detail, curiosity, and a problem-solving mindset. /li li Interest in automation, artificial intelligence, and applying technology to improve business processes. /li li Good communication and collaboration skills, with the ability to work across different teams. /li li Intermediate English or above. /li /ul div br br strong Nice to Have /strong /div ul li Experience with Python libraries such as Pandas, Selenium, or BeautifulSoup.
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