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As a Solutions Analytics Data Scientist, you will analyze partner and performance data to showcase the value of SentiLink's products. Your role involves performing data evaluations, delivering insights into fraud trends, and supporting ongoing product assessments for partners. Collaboration with cross-functional teams to enhance product performance and clear communication of complex data findings are key responsibilities.

The Model Risk Analyst will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation and reporting activities while collaborating with internal stakeholders and customers to ensure model reliability and accuracy.

As a Full Stack Engineer, you will develop and maintain a web application for fraud analysis, collaborating with diverse teams to enhance products. Responsibilities include coding, testing, troubleshooting, and ensuring software quality, while working in an Agile environment.

As the Strategic Finance Lead, you'll manage financial planning and analytic support, create reports, conduct analyses, and oversee budgetary processes. You'll work with cross-functional teams to enhance decision-making through actionable insights and ensure scalable operations as the company grows.

As a Senior Infrastructure Engineer, you will develop standards, processes, and tools for SentiLink's platform, ensuring the reliability and efficiency of systems. Responsibilities include constructing infrastructure as code, designing scalable DevOps and CI/CD pipelines, and collaborating with engineering teams to enhance performance and monitoring. You will also manage cloud identity, oversee Kubernetes infrastructure, and investigate operational alerts.

As a Senior Software Engineer, you will own data infrastructure components to support SentiLink's products. Responsibilities include building and optimizing data pipelines, collaborating with product teams, mentoring junior engineers, and ensuring data quality. You will leverage technologies like Python, Golang, and AWS to enhance fraud detection products.