Nium

Design and implement data-driven solutions to mitigate financial-crime and compliance risks Develop and maintain advanced data models and algorithms to detect and prevent financial crimes Collaborate with cross-functional teams to integrate data-driven solutions into the business Stay up-to-date with regulatory requirements and industry trends to ensure compliance Work with data engineers to design and implement data pipelines and architectures Develop and maintain data visualizations and reports to communicate insights to stakeholders

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field 2+ years of experience in data science, data engineering, or a related field Strong programming skills in languages such as Python, Java, or R Experience with data visualization tools such as Tableau, Power BI, or D3.js Familiarity with cloud-based data platforms such as AWS, GCP, or Azure Strong understanding of data modeling and machine learning concepts

Master's degree in Computer Science, Mathematics, Statistics, or related field Experience with big data technologies such as Hadoop, Spark, or NoSQL databases Familiarity with containerization using Docker or Kubernetes Knowledge of DevOps practices and tools such as Jenkins, GitLab, or CircleCI