Top Data & Analytics Jobs

The role supports execution of Data Governance programs, creates governing documents, prepares presentations, and maintains issue logs. Responsibilities include managing documentation and liaising with various departments and team members.

The Quant Analytics role involves identifying and documenting risks, supporting analytical functions for the Business Banking Lending Product, and collaborating with stakeholders for performance reporting. The position requires technical expertise to develop actionable insights through data analysis and visualization.

The Associate collaborates with the risk team to produce analytics and recommendations for the Digital Payments Fraud Strategy. Responsibilities include developing insights into account trends, understanding operational processes, and conducting ad hoc analytics.

As a Data Scientist in Payments Data & Analytics, you will analyze how money flows globally, creating insights that impact product strategy. Responsibilities include developing analytic projects, creating visualizations, and collaborating with stakeholders to enhance data models and algorithms for business objectives.

As a Data Scientist Associate, you will join an agile team to design, develop, and deploy data solutions, focusing on AI/ML applications. Responsibilities include enhancing data models, maintaining data pipelines, and collaborating with stakeholders to meet business objectives. The role requires a solid understanding of machine learning concepts and experience with cloud platforms.

As a Solutions Analyst III, you will bridge the gap between product owners, business operations, and software developers by documenting business requirements and translating them into technical solutions. You'll conduct data analysis to provide insights, collaborate on architecture designs, and align technology with business strategies, enhancing your technical knowledge along the way.

This role involves leading efforts in managing and governing reference data by developing a comprehensive governance framework, ensuring data quality and compliance, and collaborating with stakeholders to align data needs with business objectives. Responsibilities include implementing data quality practices, mitigating risks, and fostering accountability within the organization.