Senior Cybersecurity Analytics Manager

Ardent MC; Washington (District of Columbia); On-site; USD 110,000 - 150,000; Full time

Job summary

Ardent MC is seeking a Senior Cybersecurity Analytics Manager in Washington, DC. This on-site role provides advanced technical leadership and expertise in fraud analytics to support the IRS Cybersecurity Fraud Analytics and Monitoring program.

The ideal candidate will have a Bachelor's degree in a related field and a minimum of 9 years' experience in areas such as predictive analytics, machine learning, and cybersecurity operations. The position entails serving as a senior technical advisor and analyzing complex datasets to identify threats.

Qualifications

• Minimum of 9 years of experience with cybersecurity or fraud analytics.
• Strong experience with analyzing large datasets.
• Familiarity with SIEM platforms and cybersecurity monitoring.

Responsibilities

• Serve as a technical advisor for fraud analytics.
• Develop and customize analytical algorithms.
• Analyze large datasets to identify threats.

Skills

Predictive analytics

Forensics analysis

Machine learning

Data analysis

Cybersecurity operations

Education

Bachelor’s degree in Cybersecurity or related field

Tools

Python

R

SQL

ElasticSearch

Spark

Splunk

Job description

Senior Cybersecurity Analytics Manager

This is an on-site position in Lanham, MD.

Position Description

Ardent is seeking a Senior Cybersecurity Analytics Manager to provide advanced technical leadership and fraud analytics expertise supporting the IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) program. This role will support predictive analytics, forensic analysis, machine learning initiatives, incident coordination, and technical strategy development across large‑scale cybersecurity and fraud detection environments.

Responsibilities and Duties

• Serve as a senior technical advisor supporting fraud analytics and cybersecurity monitoring operations.
• Provide technical leadership across predictive analytics, deep forensics analysis, and fraud detection initiatives.
• Support development and customization of analytical algorithms used to detect anomalous, malicious, and fraudulent activity.
• Analyze large structured and unstructured datasets to identify trends, indicators, and potential threats.
• Support implementation of machine learning and advanced analytics methodologies for fraud detection and monitoring.
• Advise stakeholders on technical developments, emerging threats, and recommended mitigation strategies.
• Support forensic analysis activities and incident management efforts related to suspicious or malicious activity.
• Develop technical reports, briefings, white papers, and executive summaries.
• Collaborate with internal and external stakeholders to support threat intelligence sharing and fraud analytics coordination.
• Support ETL processes, data ingestion activities, and analytics platform enhancements.
• Provide guidance on cybersecurity monitoring tools, fraud analytics processes, and operational best practices.

Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or related field, or equivalent demonstrated experience.
• Minimum of 9 years of experience supporting cybersecurity operations, fraud analytics, data analytics, or enterprise monitoring environments.
• Experience supporting predictive analytics, machine learning, or forensic analysis initiatives.
• Strong experience analyzing large datasets and identifying anomalous or malicious activity.
• Experience supporting cybersecurity monitoring, incident response, or fraud detection operations.
• Ability to provide technical leadership and support complex analytical initiatives.
• Experience preparing technical documentation, reports, and briefings.
• Familiarity with SIEM platforms, data analytics tools, and cybersecurity monitoring technologies.

Preferred Qualifications

• Experience supporting IRS, Treasury, Federal Civilian, Intelligence Community, or highly regulated environments.
• Experience with machine learning, predictive analytics, or fraud detection methodologies.
• Familiarity with Python, R, SQL, ElasticSearch, Spark, Splunk, or similar analytics technologies.
• Experience supporting cloud-based analytics or big data environments.
• Knowledge of ETL processes, data transformation, and large-scale log analysis.
• Experience supporting cybersecurity fraud analytics programs or enterprise monitoring operations.

Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage all Veterans and those with disabilities to apply.

Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.