Principal Associate, Data Science - Model Risk Office

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

Benefits offered by this job

Performance-based incentive compensation

Comprehensive health benefits

Inclusive workplace policies

Job summary

Capital One National Association is seeking a Principal Associate in Data Science for their Model Risk Office in McLean, Virginia. The role revolves around leveraging data analytics, collaborating with cross-functional teams, and enhancing model governance.

The ideal candidate will hold a quantitative degree and have extensive experience in statistical modeling and machine learning techniques.

This position offers a competitive salary and incentives, alongside a comprehensive benefits package.

Qualifications

• Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics.
• Master's Degree or MBA with quantitative concentration plus 3 years experience in the field.
• PhD in a quantitative area.

Responsibilities

• Partner with teams to identify model risks.
• Lead teams in building machine learning models.
• Validate and present model risk impacts to executives.

Skills

Statistical modeling

Machine learning

Interpersonal skills

Data analysis

Programming in Python

Experience with AWS

Education

Bachelor's Degree in a quantitative field

Master’s Degree in a STEM field

PhD in a quantitative field

Tools

Python

SQL

AWS

H2O

Spark

Job description

Principal Associate, Data Science - Model Risk Office

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 little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s 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 the big opportunities that help everyday people save money, time and agony 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 our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing just on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition.

In this role, you will:

• 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 the insights hidden within huge volumes of numeric and textual data.
• Lead teams of data scientists who build machine learning models to challenge current champion models that are 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 flex your interpersonal skills to present how identified model risks could impact the business to executives.

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.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and 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. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
• 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.

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

Salary ranges: Chicago, IL: $147,100 - $167,900 — Princ Associate, Data Science McLean, VA: $161,800 - $184,600 — Princ Associate, Data Science New York, NY: $176,500 - $201,400 — Princ Associate, Data Science Plano, TX: $147,100 - $167,900 — Princ 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 plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Capital One promotes a drug‑free workplace.

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.