Senior Associate, Quantitative Analyst - MLRO

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NY
Salary
$135,600–$154,800 / yr
Posted
33 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k
This role $145k
$117k most similar roles pay here $209k

This role pays less than 57% of similar roles. Most pay $129,350–$199,800 — the shaded band above. At the midpoint, this role pays about $145k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Quantitative Analyst - MLRO

As a Senior Associate Quantitative Analyst at Capital One, you will join a dynamic team focused on developing market and counterparty credit risk models for the Capital Markets line of business, using cutting-edge cloud computing and machine learning technologies to analyze billions of customer records. Your day-to-day responsibilities include enhancing modeling frameworks, identifying opportunities for quantitative methods and automation solutions, and collaborating with cross-disciplinary teams to build innovative analytical tools. You will need strong coding skills in Python or .NET, expertise in econometric analysis, and the ability to communicate complex technical concepts clearly to diverse audiences. This role requires a Master’s degree in a quantitative field plus one year of experience in statistical modeling, programming in R, Python, or SQL, and presenting research results effectively. Experience with large datasets and skills in survival analysis, time-series analysis, and machine learning are preferred.

What you'll do

  • Develop market and counterparty credit risk models for Capital Markets.
  • Enhance modeling frameworks focusing on VaR, Greeks, PFE, and CVA.
  • Identify opportunities to apply quantitative methods to improve business performance.
  • Build cloud-based solutions using data-driven approaches in a cross-disciplinary team.
  • Provide technical guidance to business leadership on complex analytical projects.
  • Communicate technical subject matter clearly to diverse audiences across the organization.

What we're looking for

  • Strong understanding of quantitative analysis methods for derivatives.
  • Expertise in Python or another modern scripting language.
  • Ability to communicate complex modeling results clearly across various audiences.
  • Experience owning the full model development lifecycle from concept to monitoring.
  • Demonstrated proficiency in econometric and statistical modeling techniques.

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