Top Data & Analytics Jobs
As a Lead Machine Learning Engineer at Capital One, you will develop and implement machine learning applications in an Agile environment. Your role involves designing and optimizing models for production, collaborating with data scientists, and using technologies like Kubernetes, PyTorch, and Spark. You'll automate ML processes and support the deployment of complex AI/ML solutions to address business challenges.
As a Principal Quantitative Analyst, you will validate financial models for stress testing and risk management, develop validation strategies, enhance model methodologies, and communicate findings effectively to influence business strategy, while driving innovation within a team of quantitative analysts.
The Principal Quantitative Analyst will collaborate with various business lines to enhance modeling and analytical frameworks. Responsibilities include creating cloud-based analytical solutions, applying quantitative and machine learning methods to improve performance, and providing technical guidance while communicating insights effectively to diverse audiences.
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This position involves managing liquidity risk within Capital One, focusing on Liquidity Coverage Ratio (LCR) and Net Stable Funding Ratio (NSFR). Responsibilities include executing and reporting on LCR and NSFR, developing an understanding of liquidity risk frameworks, and implementation of business requirements for stress testing. The role requires collaboration with multiple departments to optimize balance sheet positioning and communicate effectively about new products and initiatives.
As a Principal Associate, Data Scientist, you will partner with cross-functional teams to analyze large data sets, build machine learning models, and translate complex data insights into business strategies while leveraging technologies like Python, AWS, and Spark.
The Principal Quantitative Analyst will enhance Capital Markets modeling and analytical frameworks, develop novel solutions for business problems, and apply advanced quantitative methods to generate insights. The role involves collaborating on cloud-based solutions and communicating complex technical concepts clearly to stakeholders.
As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to support core underwriting decisions in credit card management. You'll work with a cross-functional team to deliver customer-focused products by analyzing vast datasets and utilizing a variety of technologies to extract insights and drive business solutions.
As a Senior Manager, Data Science at Capital One, you'll lead a team focused on building machine learning pipelines and resolving entity data. You'll collaborate with engineers and analysts to innovate solutions, utilizing technologies like Python and AWS to analyze large datasets and drive impactful business strategies.
The Senior Manager, Data Science will lead a team in developing machine learning pipelines to analyze vast data records, collaborate across multiple functions, and drive strategic insights within the company, focusing on customer needs and innovative solutions.
As a Manager of Data Science, you'll lead initiatives to enhance code quality and standards. You will present progress to stakeholders, evaluate machine learning pipelines, and optimize software tools for better data insights. The role emphasizes teaching best practices in software development to the team.
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