Principal Associate, Data Science - Model Risk Office

Capital One; McLean (VA); On-site; USD 161,800 - 184,600; Full time

Benefits offered by this job

Performance-based incentives

Comprehensive health benefits

Job summary

Capital One is seeking a Data Scientist in McLean, VA to leverage data for innovative solutions and risk management. The role involves collaborating with a cross-functional team to utilize technologies like Python and AWS to drive insights from vast data volumes.

The ideal candidate will possess strong analytical skills, a relevant degree, and experience with machine learning techniques. Capital One offers a competitive salary and comprehensive benefits.

Qualifications

• Currently pursuing or holding a relevant Bachelor's, Master's, or PhD degree.
• 5 years of data analytics experience for Bachelor's, 3 years for Master's or MBA.
• Experience validating and interpreting models.

Responsibilities

• Partner with team to identify and quantify risks with models.
• Utilize technologies to extract insights from data.
• Lead teams in building and validating machine learning models.

Skills

Python

Machine Learning

AWS

Data Analytics

SQL

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

PhD in a quantitative field

Tools

H2O

Spark

Job description

Overview

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988. Fast-forward a few years, and this innovation and our passion for data have helped us grow into a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time and effort in their financial lives.

In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We invest in the future by developing new skills, building better tools, and maintaining a network of trusted partners.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights hidden within vast volumes of numeric and textual data
• Lead teams of data scientists who build machine learning models to challenge current champion models deployed in production and contribute to the model governance framework for the next generation of models
• Lead validation of a wide variety of models across multiple business domains and present to executives how identified model risks could impact the business

The Ideal Candidate is

• Innovative. You continually research and evaluate emerging technologies and stay current on published state-of-the-art methods, technologies, and applications.
• Creative. You thrive on defining big, undefined problems, asking questions, and sharing new ideas.
• A leader. You challenge conventional thinking and work with stakeholders to improve the status quo; you’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open-source languages and are passionate about developing further, with hands-on experience building data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built and validated models, backtested them, and can interpret confusion matrices or ROC curves. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications

• Currently has, or is in the process of obtaining, one of the following with the expectation that the 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 data analytics experience
  • 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 data analytics experience
  • 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 a STEM field plus 3 years of data analytics experience, or PhD in a STEM field
• 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

Capital One will sponsor qualified applicants for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on hours worked. Salaries are specific to the location and may vary by location or role.

Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science

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

Plano, TX: $147,100 - $167,900 for Princ Associate, Data Science

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 will be reflected in the offer letter.

This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.

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

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws and regulations regarding criminal background inquiries.

If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or [e-mail]. All information you provide will be kept confidential and used only to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please email [e-mail]. Capital One does not provide, endorse nor guarantee third-party products or services described on this site.

Capital One Financial is made up of several entities. Positions posted in Canada are for Capital One Canada; positions posted in the United Kingdom are for Capital One Europe; positions posted in the Philippines are for Capital One Philippines Service Corp. (COPSSC).