Distinguished Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · McLean, VA · Cambridge, MA · Richmond, VA
Salary: $269,100–$307,200 / yr
Posted: 114 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $288k

$116k most similar roles pay here $328k

This role pays more than 95% of similar roles. Most pay $136,350–$224,500 — the shaded band above. At the midpoint, this role pays about $288k versus about $180k 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 498 open roles on FindRole.

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

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Distinguished Engineer

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As a Distinguished Engineer in Capital One’s Risk Technology organization, you will collaborate with Credit & Financial Risk Management teams to develop cutting-edge risk management products using advanced technologies like artificial intelligence. This role involves not only implementing existing solutions but also strategizing and defining the use of modern technologies to address emerging risks that stakeholders may not have anticipated yet. You will work on building data-driven tools that leverage machine learning to prevent risks and detect issues in real-time, ensuring business continuity and customer safety. The ideal candidate has at least 5 years of experience in security engineering and architecture and possesses strong skills in AI, machine learning, and related technologies. This position requires expertise in creating scalable solutions for a large financial institution, where the ability to innovate and adapt is crucial.

Skills

Python Java Kubernetes Docker AWS Azure CI/CD Git PostgreSQL MongoDB Redis Artificial Intelligence Machine Learning APIs RESTful APIs Microservices Scrum Agile DevOps

What you'll do

Design and implement advanced security architectures to protect critical systems.
Develop real-time risk management products using machine learning technologies.
Strategize on modern technology solutions to address unforeseen stakeholder issues.
Collaborate with Credit & Financial Risk Management teams for product creation.
Define technical roadmaps that integrate AI and ML for intelligent risk tools.

What we're looking for

At least 5 years of experience in security engineering and architecture.
Bachelor’s Degree required.
Experience with machine learning and AI technologies.
Ability to define modern technology solutions for complex problems.
Strategic thinking in developing intelligent risk management products.

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