Top Data & Analytics Jobs

The Data Quality Lead is responsible for establishing data quality standards and procedures, managing data quality risks, and supporting data governance strategies at JPMorgan Chase. The role involves engaging with stakeholders, defining key data capabilities, and providing insights for data quality improvement.

The Machine Learning Summer Associate will research and develop advanced machine learning models, focusing on areas like natural language processing and recommendation systems, while collaborating with various teams to deploy solutions. The role includes independent research, experimentation with new methods, and participation in a knowledge-sharing community.

As a Fraud Risk Strategic Analytics Senior Associate, you will manage the Payment Risk strategy for Chase's Card portfolio, analyze fraud behaviors, implement testing and performance monitoring, and collaborate with various teams to inform strategy and mitigate risks.

In this role, you will analyze risk management processes and provide insights to improve strategy development and operational controls. You will maintain analytics on account trends, understand performance drivers, and contribute to projects within the risk team.

The Fraud Risk Strategy Analytics Associate will monitor fraud trends, develop fraud fighting strategies, collaborate with cross-functional teams, and analyze data to mitigate fraud risks. The role requires strong analytical skills to interpret complex data and develop solutions for fraud detection and prevention while balancing business efficiency.

Lead Solutions Analyst responsible for driving success in technical program delivery through innovative solutions analysis. Duties include translating complex requirements into solutions, providing strategic insights, and mentoring team members. Expected to leverage advanced data analytics techniques for informed decision-making and stakeholder communication.

As a Data Management Analyst, you will partner with the Business to oversee Data Risk Management, establish effective controls, support the Data Management agenda, and deliver training on tools and processes while collaborating with various stakeholders to ensure data governance capabilities are built and maintained.