Principal Associate, Data Scientist - Cash Flow Underwriting

We are looking for highly analytical Data Scientists to join our Cash Flow Underwriting Team. This role is centered on leveraging advanced machine learning techniques to identify and engineer the predictive signals that power our risk and usage models.

The ideal candidate possesses a solid understanding of data alongside advanced machine learning skills to uncover non-obvious patterns in cash flow and transaction data. You will be responsible for applying sophisticated methodology to transform raw banking data into high-value features that accurately forecast creditworthiness and customer behavior.

- 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

- Build 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

- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.

- 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.

- Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

- 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.

- A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

- 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 5 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 3 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)

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

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

New York, NY: $176,500 - $201,400 for Princ Associate, Data Science