Manager, Data Scientist - Model Risk Audit

the opportunity to connect the dots to raise the appropriate model risk issues and provide assurance to the Audit Committee. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.

You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.

- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

- Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data

- Audit machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

- Flex your interpersonal skills to translate the complexity of your work into tangible business goals

- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers.

You're not afraid to share a new idea.

- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.

- Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve.

You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

- At least 1 year of experience leveraging open source programming languages for large scale data analysis

- At least 1 year of experience working with machine learning

- At least 1 year of experience utilizing relational databases

- PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

- At least 4 years of experience in Python, Scala, or R for large scale data analysis

- At least 1 year of experience working with deep learning or Gen AI applications

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.