Top Data & Analytics Jobs

The Principal Associate, Control Test Analyst at Capital One's Card Risk organization is responsible for leading the development and execution of programs to support second line assessments and Design/Operating Effectiveness testing for automated/hybrid/manual controls. The role requires a strong collaborative mindset, risk management expertise, and the ability to drive effectiveness and efficiency in business and risk management processes. The ideal candidate will have experience in Compliance and/or Risk Management within a major financial company.

The Principal Associate, Control Test Analyst will lead the evolution of the Card's automated controls methodology, provide training, and ensure effective second line validation. The role focuses on enhancing risk management processes while collaborating with multiple stakeholders within the organization.

As a Manager in Data Science at Capital One, you will lead a team to leverage advanced data analysis and machine learning techniques. Your role involves building machine learning models, collaborating with cross-functional teams, and delivering impactful applications that enhance the customer experience.

As a Lead Machine Learning Engineer, you will focus on automating model governance, building optimized data pipelines, collaborating with cross-functional teams, leveraging cloud technologies, and advocating for best practices in software and machine learning engineering.

As a Principal Associate, Data Science at Capital One, you will partner with a cross-functional team to deliver customer-centric products, utilize a variety of technologies to uncover insights from large datasets, build machine learning models, and translate complex work into business goals. The ideal candidate is customer-first, innovative, technically skilled, statistically-minded, and a data guru. Basic qualifications include a Bachelor's Degree plus 5 years of experience in data analytics. Preferred qualifications include a Master's Degree in a STEM field plus 3 years of experience.

The Sr. Business Manager in Global Workplace Services will lead the Workplace Analytics Team, focusing on using data and technology to improve workplace efficiency. Responsibilities include developing machine learning models, collaborating with cross-functional teams, mentoring analysts, and driving strategic business initiatives to enhance credit performance and operational excellence.

As a Manager, Data Scientist on the Application Fraud Team, you will build machine learning models to prevent fraud, collaborate with cross-functional teams, and analyze large datasets using various technologies.