Top Data & Analytics Jobs

As a Data Scientist at Capital One, you will partner with a cross-functional team to deliver customer-focused products. You will leverage technologies like Python and SQL to extract insights from large datasets, build machine learning models, and translate complex analysis into business goals. Your role will involve innovative research and evaluation of technologies while working on impactful applications such as fraud detection and product recommendations.

Senior Business Analyst role at Capital One focusing on Enterprise Data Strategy & Analytics. Responsibilities include identifying business challenges, modeling/analytics for new product strategies, supporting marketing efforts, improving credit performance, and collaborating with various departments for operational improvement. The role requires strategic and analytic thinking, quantitative orientation, strong business judgment, and leadership skills.

As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. Responsibilities include identifying business challenges, analyzing data, supporting marketing efforts, improving credit performance, and collaborating with various teams at Capital One.

The Director of Data Science will leverage a wide array of technologies to build and implement machine learning models, collaborating with a team to drive improvements in decision-making and risk management. They will also engage in talent development and lead innovative solutions in the Model Risk Office.

As a Director of Data Science at Capital One, you will lead a team focusing on model risk, utilizing your expertise in statistics and software engineering to drive decisions in risk management. You will leverage cloud technologies and machine learning to develop models, and work cross-functionally with various teams to deliver value to customers.

The Senior Analyst in Capital Markets & Risk will manage payment processes, ensure accuracy in settlement instructions, and mitigate risks associated with incorrect payments. Responsibilities include executing payment requests, establishing standardized procedures, and collaborating with various stakeholders to enhance controls and drive efficiencies through automation.

The Senior Machine Learning Engineer will develop and implement machine learning applications, focusing on architectural design, model building, and performance optimization. Responsibilities include collaborating with cross-functional teams, maintaining models in production, and leveraging cloud technologies to optimize ML models at scale.