Data Analysis Manager, ES Risk Analytics

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
New York, NYRichmond, VAMcLean, VA
Salary
$164,800–$188,100 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $176k
$134k most similar roles pay here $225k

This role pays less than 51% of similar roles. Most pay $142,500–$216,400 — the shaded band above. At the midpoint, this role pays about $176k versus about $179k for comparable roles.

Based on 239 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Data Analysis Manager, ES Risk Analytics

As a Data Analysis Manager - ES Risk Analytics, you will join a team where data is central to decision-making. You will drive strategy by mining large, complex databases containing millions to billions of records to identify crucial information and improve operational efficiencies. Your daily responsibilities include building models to test and validate data, consulting on the design of new production and data storage systems, and managing a team of junior analysts while mentoring their professional growth. The role involves evaluating product offerings through rigorous analysis and implementing improvements in reporting and processes. You will utilize technical tools including Python, R, Spark, SQL, Tableau, and AWS services, potentially utilizing Infrastructure as Code tools like Terraform or CloudFormation. This position focuses on solving complex problems within the risk analytics domain to enhance customer experience and internal effectiveness.

What you'll do

  • Mine large and complex databases containing millions or billions of records to extract critical information.
  • Build and use models to test and validate data for organizational strategy.
  • Identify and implement improvements for processes, data quality, and reporting systems.
  • Analyze product offerings and develop strategic tests for marketing materials and initiatives.
  • Consult on the design and implementation of new production and data storage systems.
  • Lead, mentor, and manage a team of junior analysts to improve their professional growth.
  • Improve operational efficiencies and effectiveness through rigorous data analysis.

What we're looking for

  • Bachelor’s Degree in a quantitative field plus 6 years of experience, or a Master’s Degree plus 4 years of experience performing data analytics.
  • At least 4 years of experience performing professional data analysis work.
  • At least 4 years of experience performing programming.
  • Master’s Degree in a STEM discipline (preferred).
  • At least 7 years of professional data analysis work experience (preferred).
  • At least 4 years of experience with Python, R, Spark, or SQL (preferred).
  • At least 2 years of experience in people management (preferred).
  • Experience with Infrastructure as Code tools, Tableau, or AWS services (preferred).

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