Senior Manager, Quantitative Analysis - Model Risk Office

Hobbsnews; McLean (VA); On-site; USD 229,900 - 262,400; Full time

Benefits offered by this job

Comprehensive health benefits

Bonus and incentive compensation

Job summary

Hobbsnews is seeking a Senior Manager for Quantitative Analysis in McLean, VA. This role involves leading model risk initiatives using data to drive decision-making. The candidate should have a strong background in statistical modeling and experience managing large datasets.

Candidates must hold a Master's or PhD in a quantitative field and possess at least 5 years of relevant experience. This position offers a competitive salary, potential for bonuses, and comprehensive benefits including health and financial support.

Qualifications

• Requires a Master's degree or a PhD in a related field.
• Minimum of 5 years of experience in statistical modeling and analytics.
• Experience with large datasets over 1 million records.

Responsibilities

• Develop alternative model approaches and assess model risks.
• Communicate complex technical concepts to varied audiences.
• Maintain high-quality and transparent documentation.

Skills

Statistical or econometric modeling

Linear and logistic regression

Programming in R, Python, or SQL

Presenting statistical concepts to non-specialist audiences

Survival analysis modeling

Time-series analysis

Machine learning

Education

Master’s degree in a quantitative field or MBA with quantitative concentration

PhD in a quantitative field

Tools

Python

R

SQL

Job description

Senior Manager, Quantitative Analysis – Model Risk Office

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring every credit card offer using statistical modeling and relational databases, cutting‑edge technology in 1988. That innovation and our passion for data has propelled us to a Fortune 200 company and a leader in data‑driven decision making.

As the Quantitative Senior Manager, you will be part of a team leading the next wave of disruption at a whole new scale, using the latest cloud computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time, and financial pain.

In the Model Risk function, you will partner with high‑performing model development and model risk teams that advance Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.

Responsibilities and Skills

• Remain at the leading edge of analytical technology with a passion for innovative tools.
• Develop alternative model approaches to assess model design and advance future capabilities.
• Understand relevant business processes and portfolios associated with model use.
• Address technical issues in econometric, statistical, and machine learning modeling and apply these skills to develop models and assess model risks and opportunities.
• Communicate technical subject matter clearly and concisely to individuals from varied backgrounds, both verbally and in written communication; prepare presentations of complex technical concepts for non‑specialist audiences and senior management.
• Maintain the efficiency and accuracy of models through continuous improvement and best‑practice application.
• Develop and maintain high‑quality, transparent documentation.
• Leverage open‑source technologies and tools to identify opportunities in the existing framework.

Basic Qualifications

• Currently holds or is in the process of obtaining one of the following:
  • 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 5 years of quantitative analytics experience.
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of quantitative analytics experience.
• At least 5 years of experience in each of the following areas:
  • Statistical or econometric modeling
  • Linear and logistic regression
  • Programming in R, Python, or SQL
  • Presenting statistical concepts and research results to non‑statistical audiences
• At least 5 years of experience in at least 3 of the following areas:
  • Survival analysis modeling
  • Time‑series analysis
  • Panel data (longitudinal or cross‑sectional time‑series) analysis
  • Cross‑sectional data analysis
  • Machine learning
  • Analysis and management of large datasets (over 1 million records)

Preferred Qualifications

• 6 years of experience with Python, R, or other statistical software.
• 6 years of experience in statistical modeling, regression analytics, or machine learning.
• 2 years of experience managing people.

Additional Information

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

Competitive salary ranges vary by location. Example: McLean, VA – $229,900 to $262,400 for Sr Mgr, Quantitative Analysis.

Bonus and incentive compensation may be available, and Capital One offers a comprehensive set of health, financial, and other benefits that support overall well‑being.

Capital One is an equal‑opportunity employer, committed to non‑discrimination in compliance with applicable federal, state, and local laws. The company promotes a drug‑free workplace and will consider qualified applicants with a criminal history in a manner consistent with applicable laws.

If you need reasonable accommodations, please contact Capital One Recruiting at 1‑800‑304‑9102 or email [e-mail]. All information you provide will remain confidential and will be used only as required to provide accommodations.

For technical support or questions about Capital One’s recruiting process, please contact [e-mail].