Democratizing payments for businesses of all sizes
CloudWalk, headquartered in Sunnyvale, California, is a modern merchant acquirer that processes over $1 billion in transactions annually for 200,000 businesses. By providing inclusive payment solutions, CloudWalk aims to democratize access to payment services, catering to a diverse range of industri...
Employees enjoy competitive salaries, equity options, flexible PTO, and a remote-friendly work policy that supports work-life balance....
CloudWalk fosters a culture of innovation and inclusivity, prioritizing diverse perspectives and collaborative problem-solving to enhance payment solu...
CloudWalk • São Paulo
CloudWalk is hiring a Data Scientist (Risk) to develop and optimize machine learning models for fraud detection. You'll work with large-scale datasets and implement data-driven strategies in the fintech sector. This role requires expertise in Python and machine learning.
You have a strong background in data science, with experience in developing and optimizing machine learning models — your analytical skills allow you to extract meaningful insights from large datasets, and you are comfortable working with complex algorithms. You are proficient in Python and have a solid understanding of SQL, enabling you to manipulate and analyze data effectively. You understand the importance of risk assessment and mitigation in the fintech sector, and you are passionate about using data to enhance risk management strategies. You thrive in a collaborative environment, working alongside risk analysts and software engineers to build robust solutions that protect users and merchants alike. You are detail-oriented and have a keen eye for identifying patterns in data that can help prevent fraud. You are eager to bridge the gap between theoretical data science and practical applications, ensuring that your work has a tangible impact on the company's success.
Experience with data visualization tools and frameworks would be a plus, as it can help communicate insights effectively to stakeholders. Familiarity with regulatory compliance in the fintech industry is also advantageous, as it will enhance your ability to contribute to the team's objectives.
As a Data Scientist on the Risk Team at CloudWalk, you will play a crucial role in developing and optimizing machine learning models to detect and prevent fraud — your work will involve analyzing data to build predictive models that enhance our risk management processes. You will collaborate with a multidisciplinary team, leveraging your expertise to implement data-driven strategies that keep our ecosystem safe. You will handle large-scale datasets, extracting insights that inform decision-making and improve our fraud detection capabilities. Your responsibilities will include designing experiments to test the effectiveness of different models and algorithms, as well as continuously refining these models based on performance metrics. You will also be involved in maintaining regulatory compliance, ensuring that our risk management strategies align with industry standards. Your contributions will directly impact the safety and satisfaction of our millions of customers, making your role vital to the company's mission.
At CloudWalk, you will be part of a dynamic and innovative team that is dedicated to building the future of payments — we foster a culture of collaboration and creativity, encouraging you to share your ideas and contribute to our growth. We offer competitive compensation and benefits, along with opportunities for professional development and career advancement. You will have the chance to work on exciting projects that challenge you and allow you to grow your skills in data science and machine learning. Join us in our mission to create a safer and more efficient payment ecosystem for our users and merchants.
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