Team:

The Commercial Business Analysis (CBA) team partners with senior business leaders across Capital One to deliver on our vision to become the top middle market bank. As part of the team’s scope, we have a Capital One Data Insights and Analytics (CODIA) team dedicated to innovating with new sources of data to drive long-term value for our clients and the bank. We are currently expanding to integrate advanced machine learning models, modernize our data infrastructure, and identify new delivery models.

In this role, you will:

• Partner with a cross-functional team of data scientists, business analysts, and relationship managers to deliver a product that creates real value for our clients.

• Partner with enterprise AI teams to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

• Conduct rigorous statistical analysis and back-testing against third-party data to integrate new datasets and mathematically validate insights.

• Modernize data infrastructure by developing tailored analytical tools on core enterprise data schemas and implementing real-time automated validation controls.

• Support long-term technical integrations for complex business projects, including comprehensive run-off analysis, underwriting automation, and advanced risk and portfolio management.

The Ideal Candidate is:

• 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.

• Technical. You99re 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. You99ve 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. 9Big data9 doesn9t 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.

Basic Qualifications:

• 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

Preferred Qualifications:

• PhD in 9STEM9 field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

• At least 1 year of experience working with AWS

• At least 4 years9 experience in Python, Scala, or R for large scale data analysis

• At least 4 years9 experience with machine learning and embeddings

• At least 4 years9 experience with SQL

• Experience working with consumer and/or commercial banking data

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

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate9s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.