This role pays more than
78%
of similar roles. Most pay
$148,144–$207,500
— the shaded band above.
At the midpoint, this role pays about
$211k
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.
Manager, Cyber Fraud Intelligence Associate serves as an individual contributing manager within the Cyber Fraud Intelligence team. This role focuses on countering cyber-enabled fraud across the enterprise by proactively identifying trends and events impacting at-risk customers. The associate will synthesize data from malware, attack patterns, and open or closed source intelligence to inform detections and create mechanisms that highlight threats to specific populations. Key responsibilities include monitoring deep and dark web sources, formulating actionable intelligence products, and partnering with engineering and data science teams to build automated solutions for fraud tactics. Required skills include experience in incident response, threat hunting, and security architecture reviews. Technical competencies involve SQL, Python, Perl, PHP, or PowerShell, along with expertise in public cloud environments like AWS, Azure, or GCP, and familiarity with Generative and Agentic AI tools.
Synthesize malware, attack patterns, and open/closed source intelligence to inform fraud detections.
Create mechanisms to combine detection signals that highlight cyber fraud threats for at-risk customers.
Research common indicators of compromise and modus operandi to communicate actionable referrals of at-risk accounts.
Monitor deep and dark web, social media, and other OSINT sources to gather threat intelligence.
Partner with engineering and data science teams to develop automated solutions for fraud TTPs.
Formulate actionable intelligence products and contribute to the company's cyber fraud response strategies.
Build internal processes to gather and process actionable cyber fraud intelligence.
What we're looking for
High School Diploma, GED, or equivalent certification.
At least 4 years of experience in cybersecurity or IT performing incident response, threat hunting, threat intelligence, forensics, or offensive security.
At least 1 year of experience providing guidance and oversight of security concepts.
At least 1 year of experience performing security risk assessments and security architecture reviews.
At least 1 year of experience with architecture, software design, networking, and cloud infrastructure.
Bachelor's Degree (preferred).
2+ years of experience in cyber-enabled fraud investigations, cybercrime, or advanced persistent threats (preferred).
2+ years of experience in fraud methodologies, technologies, and trends including deposit, identity theft, and account takeover (preferred).
2+ years of experience building queries for relational databases to analyze complex data sets (preferred).
2+ years of experience in programming or scripting such as SQL, Python, Perl, PHP, or PowerShell (preferred).
3+ years of working in public cloud environments like AWS, Azure, or GCP (preferred).
3+ years of experience in a highly regulated industry such as finance, fintech, healthcare, or intelligence (preferred).
1+ year of experience working with Generative and Agentic AI tools (preferred).
Python
Spark
Ray
H2O
PyTorch
Kubernetes
AWS
Conda
Scala
R
Machine Learning
Deep Learning
Relational Databases
Big Data
Time Series
Sentiment Analysis
Clustering
Classification
SQL
Python
AI
Graph Analysis
Anomaly Detection
Data Science
Rule Engines
BI Tools
Case Management Systems
Threat Modeling
Incident Response
Root Cause Analysis
Data Querying
Scripting
Automation