Top Data & Analytics Jobs

The Senior Business Analyst will perform risk analysis, support research, and develop independent risk assessments for balance sheet activities in MLRO. They will use analytical skills to manage liquidity and market risks, collaborating with different business groups while becoming an expert in areas like interest rate and liquidity risk.

The Principal Data Analyst will leverage analytics skills to innovate data solutions, translate business needs into insights, and ensure data quality and governance.

The Senior Associate, Controls Tester will execute controls testing, ensuring compliance with enterprise standards, while enhancing the control ecosystem and collaborating with various stakeholders.

The Distinguished Software Data Engineer role involves driving data architecture and engineering solutions, mentoring teams, and influencing technology adoption to enhance Capital One's data strategy.

Perform data labeling and annotation to support machine learning and AI model development. Review AI-generated responses for accuracy, annotate and research data per guidelines, report quality issues, refine annotation rules, manage multiple requests to meet deadlines, and collaborate with teams to maintain workflow and standards.

As a Senior Manager, Data Analysis, you will validate analytical tools, assess methodologies, lead data analysis projects, and coach junior staff. You'll work cross-functionally to improve governance frameworks for payment types and integrate predictive risk signals.

The Senior Risk Associate supports risk reporting, participates in operational risk assessment, and collaborates on risk management strategies with leadership.

The Manager of Data Analysis will lead platform analytics, manipulate large datasets, and drive data-driven insights for network usage and capabilities.

The Senior Manager, Data Analysis leads validation projects, enhances analytical tools, manages teams, and influences business strategies through data analysis.

The role involves strategizing and managing Data Annotation Operations, improving processes, leading teams, ensuring compliance, and collaborating across the organization.