Top Data & Analytics Jobs

As a Senior Lead Data Engineer at Capital One, you'll lead a development team, utilizing various big data and cloud technologies to deliver impactful solutions. Responsibilities include collaborating with Agile teams, mentoring, and ensuring optimal code performance.

Lead analytics engineering to design and maintain transformation layers, data models, and semantic layers. Ensure data quality, governance, observability, and single source of trusted metrics. Modernize reporting, support self-service analytics, collaborate across teams, review and test code, and leverage AI to improve analytics outputs.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

Lead the architecture and development of scalable data platforms and distributed processing systems. Establish enterprise data governance, quality, privacy, compliance, schema management, and lifecycle standards. Drive resilient, automated, and observable data pipeline strategies; evaluate technologies; review complex architectures; collaborate with business and technology stakeholders; and mentor data engineers in stream processing, data modeling, and MLOps.

Analyze domestic card portfolio performance, identify credit risk trends, build and monitor loss forecasting and statistical models, and generate insights for senior leaders and financial reporting. The role supports lending product and pricing strategies, targeted marketing insights, credit performance improvements, hypothesis testing, and implementation planning. It requires cross-functional collaboration with IT, Sales, Operations, and Finance, along with strong quantitative, communication, decision-making, and leadership skills.

Lead product analytics for the Retail Bank: define measurement frameworks, set OKRs, guide product teams with data-driven insights, prioritize roadmaps, manage delivery, grow and mentor product analysts, and partner across Product, Engineering, Data, Finance and Research to influence product direction and investment decisions.

Develop and enhance capital markets models, including deposit, derivatives, and fixed-income models. Build quantitative and machine learning solutions using large datasets and cloud technologies to improve business performance. Own model development from conceptualization through validation, deployment, training, documentation, and monitoring. Provide technical guidance, communicate statistical findings to diverse audiences, and collaborate with finance, business, and cross-disciplinary teams.