In Capital One's Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models.
Requirements
- Experience in Python, Scala, or R
- Experience with machine learning or statistical modeling
- Experience working with AWS or other cloud computing platforms
- Experience with SQL
- You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- You’ve built models, validated them, and backtested them.
- You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Responsibilities
- 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
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Other
- 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 2 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
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Innovative. You continually research and evaluate emerging technologies.
- Creative. You thrive on bringing definition to big, undefined problems.
