Principal Associate,Data Scientist -Risk Management Product

Team Description

As part of the Risk Management Product Data Science team, you will focus on leveraging machine learning to drive efficiencies and better risk management for the company. This team is responsible for:

• Compliance Innovation
• Product intent leadership across Compliance & Ethics (General Compliance and Corporate Integrity functions)
• Natural Language Processing initiatives
• Generative AI initiatives

Risk Management Product RISK IQ is a transformation lever using products, analytics, innovation, and data as we advance our Risk Management programs. In addition, we are also in the midst of its own transformation, moving away from traditional data acquisition and basic reporting toward real time business analysis, data science, and Generative AI.

• 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

• 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.
  
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• 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. 2
• 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)
• At least 1 year of experience working with AWS
• At least 3 years’ experience in Python, Scala, or R
• At least 3 years’ experience with machine learning
• At least 3 years’ experience with SQL
• At least 2 years’ experience working with generative AI
• At least 2 years’ experience working with NLP

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

McLean, VA: $161,800 - $184,600 for Principal Associate, Data Science
New York, NY: $176,500 - $201,400 for Principal Associate, Data Science
Plano, TX: $147,100 - $167,900 for Principal Associate, Data Science
Richmond, VA: $147,100 - $167,900 for Principal Associate, Data Science

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the…