Top Data & Analytics Jobs

As a Data Management Lead, VP, you will oversee and enhance the data governance and risk management program involving metadata, data quality, and data privacy. Responsibilities include leading workstreams, modernizing platforms, ensuring compliance with policies, and managing a team to deliver business results while reporting to executive stakeholders.

As a Data Engineer III, you'll design and deliver data solutions, develop and maintain data pipelines, and collaborate with team members to ensure effective data extraction and transformation. You will also work with cloud platforms and contribute to a culture of diversity and respect.

As a Tech Risk and Controls Analytics Lead, you will identify and mitigate compliance and operational risks while providing technical guidance. Responsibilities include data analysis, statistical interpretation, enhancing reporting, and developing workflows while collaborating with various stakeholders to improve technology risk posture.

The Data Owner Director will strategize and deliver product data to support business operations and advanced analytics. Responsibilities include driving data quality, collaborating with stakeholders to understand data usage, prioritizing data issue resolution, managing data risks, and overseeing data-related initiatives while ensuring compliance with company standards.

As a Senior Associate in Quant Analytics, you will analyze card lending strategies, track performance and profitability, develop financial models, and support pricing strategies. You'll communicate recommendations to senior management and optimize processes to increase forecast accuracy.

As a Vice President in Risk Management, you will lead the development of new account loss forecasts for consumer and small business, manage a team of analysts, design risk strategies, and collaborate with senior management and various departments to optimize risk-adjusted returns.

As a Loss Forecasting Model Analytics Associate, you will execute credit loss forecasting models, diagnose model accuracy, and lead analyses to assess loss performance. This role involves collaboration across teams to integrate strategic insights, conduct macro sensitivity analytics, and present findings to senior management.