This role pays less than
78%
of similar roles. Most pay
$145,150–$211,468
— the shaded band above.
At the midpoint, this role pays about
$141k
versus about
$178k
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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
As a Principal Associate, Process Risk Optimization - Enterprise Services Risk Operations (ESRO), you will join the Process Risk Optimization team to proactively identify and develop risk mitigation solutions for Capital One. You will serve as the first line of defense by performing process-based assessments across functional areas including cyber, network connectivity, development, cloud operations, data management, resiliency, and third-party functions. Your daily responsibilities involve collaborating with business partners to assess, monitor, and report process-level risks while researching emerging regulatory trends and internal process changes. You will manage multiple project workstreams, draft deliverables in a fast-paced environment, and educate stakeholders on risk management principles. Key competencies include critical thinking, analytical skills, and experience in information security or technology threat analysis. The role addresses the challenge of maintaining a strong risk posture across complex enterprise service lines.
Risk Management
AWS
Machine Learning
Artificial Intelligence
Data Management
Incident Response
Information Security
Governance
Risk and Information Systems Control
Project Management
Process Management
Compliance
Network Security
Python
R
Spark
SQL
AWS
Business Intelligence
Data Visualization
Data Quality Management
Data Governance
Agile
Lean
Six Sigma
Metadata
data, lineage
Statistical Modeling