Principal Associate, Quantitative Analysis

Capital One Financial

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Work type
On-site
Location
McLean, VA
Employment
Full-time
Posted
90 days ago
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Confirmed live today

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How this pay compares to similar roles

Similar $180k
$134k $223k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $145,500–$214,500.

Based on 240 similar postings.

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About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Principal Associate, Quantitative Analysis

The Principal Associate, Quantitative Analysis joins a cross-disciplinary team to enhance modeling and analytical frameworks across various lines of business. This role involves creating novel analytical solutions to solve challenging business problems by identifying opportunities to apply quantitative methods and automation to improve process efficiencies. The individual will build cloud-based solutions grounded in data, applying deep expertise in econometric, statistical, and machine learning methods to generate critical insights and decision frameworks. Key responsibilities include performing linear and logistic regression, survival analysis, time-series analysis, and panel data analysis on large datasets. Candidates must utilize R, Python, or SQL to manage data and communicate technical research results clearly to non-statistical audiences. The work focuses on improving business performance through advanced statistical modeling and technical guidance to leadership.

What you'll do

  • Develop novel analytical solutions to address challenging business problems across various lines of business.
  • Apply econometric, statistical, and machine learning methods to generate critical insights and decision frameworks.
  • Identify opportunities to use quantitative methods and automation to improve business performance and process efficiencies.
  • Build cloud-based solutions grounded in data within a cross-disciplinary team.
  • Provide technical guidance to business leadership on quantitative matters.
  • Communicate complex technical subject matter clearly to individuals from various professional backgrounds.
  • Manage and analyze large datasets exceeding one million records.

What we're looking for

  • Requires a master’s degree in a quantitative field and 3 years of experience in quantitative analytics.
  • A PhD in a quantitative field with demonstrated proficiency in the required skillsets is accepted in lieu of a master's degree.
  • Requires 3 years of experience in statistical or econometric modeling.
  • Requires 3 years of experience in linear and logistic regression.
  • Requires 3 years of experience programming in R, Python, or SQL.
  • Requires 3 years of experience presenting statistical concepts and research results to a non-statistical audience.
  • Requires 3 years of experience in at least 3 areas including survival analysis, time-series, panel data, cross-sectional data, machine learning, or large dataset management.
  • Must live within commuting distance of the McLean, VA office.

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