Capital One Principal Associate Data Scientist Model Risk Office 

United States, Virginia, Arlington 

721411945

Principal Associate, Data Scientist, Model Risk Office
Role Description

In this role, you will:

• Partner with cross-functional model development teams consisting of data scientists and software engineers to identify and quantify risks associated with machine learning, statistical, and financial models.

• Leverage expertise and interpersonal skills to accelerate the adoption of best practices related to the design and testing of model code.

• Evaluate the appropriateness of the design of model code with consideration to its business use to identify weaknesses and recommend improvements.

• Evaluate the effectiveness of the design and execution of code testing plans with consideration to the scope, complexity, and business impact of the underlying code.

• Perform independent code review and testing to validate model implementations are aligned with their design intent.

• Serve as a subject matter expert to support our code quality initiative and provide guidance to model development and validation teams.

The Ideal Candidate is:

• Technical. You have hands-on experience developing and testing data science solutions using open-source tools and cloud computing platforms.

• Collaborative: You work well with leaders and fellow data scientists to balance code quality needs with existing project timelines. You are able to incorporate opinions from various stakeholders to come up with a plan that serves the most good.

• Detail Oriented. You believe the little things add up and you can show the value of paying attention to the finer points of coding.

• A Teacher. You know your way around a complex, collaborative code base, but you still remember what it was like writing your first script. You can articulate the why, the what, and the how of writing modular, unit-tested code so others can get on your level.

• 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.

Basic Qualifications:

• Currently has, or is in the process of obtainingone of the followingwith 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)

Preferred Qualifications:

• 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 building or validating models for financial services

• 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

McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science Richmond, VA: $144,200 - $164,600 for Princ Associate, Data ScienceThis 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 plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.