Lead Cyber Fraud Analytics Analyst; IRS | Lanham, MD Security Clearance

Position: Lead Cyber Fraud Analytics Analyst (IRS) | Lanham, MD with Security Clearance
Position Title:

Lead Cyber Fraud Analytics Analyst
Company:
Strategic Technology Institute, Inc. (STi)

Location:

Lanham, MD / New Carrollton Federal Building — Primarily on-site client support
Anticipated

Start Date:

01 October 2026
Security / Screening Requirement:
Ability to complete U.S. Federal Government background investigation, fingerprinting, and IRS staff-like access requirements

Contract:

IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) Support Services
Key Personnel / Labor Category:
Lead EMPLOYMENT NOTE

• Full-time position contingent upon contract award and customer approval. STi is actively identifying highly qualified candidates for proposal submission and rapid post-award onboarding.

• Period of Performance: 01 October 2026 – 30 September 2031

• Primary work location is on-site at the New Carrollton Federal Building, 5000 Ellin Road, Lanham, MD 20706.

• Standard business hours are generally 8:30 AM–5:00 PM ET, Monday–Friday, unless otherwise approved by the Government.

• No travel is currently anticipated for this role. ABOUT STi
Strategic Technology Institute, Inc. (STi) supports national security missions across Engineering
• MRO
• Logistics
• IT & Cybersecurity
• Program Control. STi is a minority-owned Small Disadvantaged Business (SDB) focused on delivering flexible, mission-driven solutions that help Federal customers solve complex operational challenges. POSITION OVERVIEW
STi is seeking a Lead Cyber Fraud Analytics Analyst to support the IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) program. This role will provide hands-on technical and operational support for predictive analytics, forensic analysis, log/SIEM analysis, data ingestion, fraud indicator development, incident coordination, threat research, and analytics support for IRS online applications and digital identity-related services. The ideal candidate has practical experience working across cybersecurity analytics, fraud analytics, operational data analysis, incident support, ETL/data engineering, SIEM/log review, and stakeholder-facing technical support.

This role is especially suited for a lead analyst who can work independently, evaluate diverse technical problems, present practical solutions, and support both routine operations and urgent suspicious-activity investigations. This position maps to the Lead key personnel labor category and requires the ability to solve difficult problems in imaginative and practical ways, work independently on routine assignments, and provide strategic, tactical, and operational-level planning support based on client requirements.

PRIMARY DUTIES AND RESPONSIBILITIES

Responsibilities include:

• Support predictive analytics and deep forensic analysis of data associated with IRS online applications, SADI, credential service providers, and related application-layer fraud detection activities.

• Analyze real-time event data, application logs, transaction data, identity-related data, and user behavior patterns to identify anomalous, malicious, or potentially fraudulent activity.

• Assist in development, tuning, documentation, and testing of fraud indicators, analytical algorithms, machine learning models, and detection logic.

• Support log analysis, parsing, data transformation, data quality review, and analytical data set development for new and existing data sources.

• Develop or support ETL processes, utilities, ingestion models, data dictionaries, and repeatable analytical workflows.

• Use analytical methods such as classification, clustering, anomaly detection, regression, time-series analysis, link/network analysis, text mining, and statistical validation to support fraud detection use cases.

• Provide forensic and incident management support in response to anomalous, malicious, or fraudulent activity.

• Support timely incident response activities, including identifying the nature of threats, assisting with root-cause analysis, notifying required parties, documenting findings, and recommending mitigation actions.

• Support integration and testing of analytics changes needed for new IRS applications, new credential service providers, or changes to existing data sources.

• Perform…