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As a Principal Associate, Data Loss Prevention Engineer at Capital One, you will be responsible for implementing and maintaining DLP controls using SaaS and IaaS solutions to reduce risk and enforce Information Security Policy. Key responsibilities include delivering on DLP program objectives, assessing architectures, developing secure solutions, and providing subject matter expertise.
As a Data Loss Prevention Engineer, you will develop and implement DLP controls, assess current systems, create secure solutions, analyze SaaS workflows for CASB controls, and collaborate with IT teams to ensure proper implementation of DLP practices and documentation.
The Principal Associate, Data Loss Prevention Engineer will be responsible for implementing DLP controls, assessing architectures, and developing secure solutions using SaaS and IaaS. Responsibilities include analyzing workflows, maintaining documentation, and collaborating with IT teams to enhance Capital One's data security measures through effective DLP strategies.
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Join Capital One as a Principal Data Scientist in the Consumer Credit Risk Management Models and Data team. Leverage cutting-edge technologies to deploy, optimize, and modernize predictive models for losses and account volumes. Collaborate with a cross-functional team to deliver customer-centric products and drive strategic decisions through data-driven insights.
As a Principal Data Scientist, you will leverage machine learning and data analysis to build predictive models for consumer credit risk management. Collaborating with data scientists and software engineers, you'll deploy and optimize model pipelines to drive strategic decisions and improve financial outcomes.
Looking for critical thinkers to set the agenda for either credit, product, or marketing. Responsibilities include developing strategies for sustainable growth, presenting strategies to senior leadership teams, and constantly reviewing the customer landscape.
The Senior Data Engineer will support the Finance Tech team by developing, testing, and implementing full-stack technical solutions. Collaborating with Agile teams, they will use programming languages and cloud services to design data-driven solutions and mentor others while staying updated on tech trends.
The Senior Data Engineer will collaborate with Agile teams to design and implement technical solutions, work with machine learning and distributed microservices, utilize cloud-based data warehousing, and ensure code quality through reviews and testing. They will also mentor team members and stay updated with technology trends.
Seeking a Senior Data Engineer passionate about marrying data with emerging technologies. Responsibilities include collaborating with Agile teams, designing technical solutions, and delivering cloud-based solutions for financial empowerment. Required qualifications include a Bachelor's Degree and at least 3 years of application development experience.
At Capital One, data is at the center of everything they do. The Senior Data Analyst will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include innovation, business intelligence, and data management. Ideal candidate will have a degree in a STEM discipline, scripting experience in Python, R, Spark, and SQL, and experience with data in various forms and AWS services.
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