Capital One - McLean, VA
posted 5 months ago
Data is at the center of everything we do at Capital One. As a Principal Associate, Data Scientist in the Model Risk Office, you will play a crucial role in defending the company against model failures and enhancing decision-making processes through advanced statistical modeling and data analysis. This position is not just about crunching numbers; it’s about leveraging data to drive strategic decisions that impact millions of customers. You will collaborate with a diverse team of data scientists, software engineers, and product managers to identify and quantify risks associated with various models, ensuring that our methodologies are robust and reliable. In this role, you will utilize a wide array of technologies, including Python, AWS, and Spark, to extract insights from large datasets. Your responsibilities will include building and validating statistical and machine learning models that challenge existing champion models currently in production. You will also contribute to the governance of next-generation machine learning models, ensuring they meet the highest standards of accuracy and reliability. Your ability to communicate complex model risks to executives will be essential, as you will need to present findings in a clear and impactful manner. The ideal candidate for this position is someone who is innovative and continuously seeks to learn about emerging technologies and methodologies. You should be comfortable with open-source programming languages and have a strong foundation in statistical analysis. Your experience should include building and validating models, as well as a deep understanding of data retrieval and analysis from various sources. This role is perfect for someone who thrives in a fast-paced environment and is passionate about using data to solve real-world problems.