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The Software Engineer will design, code, test APIs and data storage solutions, troubleshoot issues, deliver projects on schedule, and collaborate with the team. Continuous learning and mentorship from senior engineers are expected in this role.

As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.

The Administrative Business Partner will provide comprehensive support to senior executives, manage complex calendars, coordinate travel arrangements, organize meetings, and handle sensitive information. They will also assist with special projects and expense reporting, ensuring efficient operations within a fast-growing financial services company.

As a Contract Lifecycle Marketing Manager, you will implement lifecycle strategies and enhance customer engagement through multi-channel marketing communications, including email and in-app messages. You'll manage project execution, collaborate on campaign planning, and analyze results to share insights.

The Affiliate Marketing Associate will support customer acquisition through partner and affiliate marketing strategies. Responsibilities include recruiting affiliates, analyzing performance, providing insights for new partnerships, and ensuring compliance with company policies. The role involves collaboration with cross-functional teams and managing marketing materials for affiliates.

The Senior Software Development Engineer will lead the Post Submit Experience team by designing and implementing customer solutions across various technologies, enhancing engineering practices, mentoring team members, and collaborating with cross-functional teams to improve user experiences post-transaction.

As a Product Data Analyst for Fraud, you will analyze fraud data to help implement product strategies and improve customer experiences. You'll design experiments, build metrics for fraud system performance, and develop tools for Fraud Specialists. This position focuses on using data science techniques to mitigate fraud risk while enhancing product usability.