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Booz Allen Hamilton · 1 day ago

Fraud Analyst

McLean, VA

Full-time

Hybrid

Mid, Senior Level

$78K/yr - $176K/yr

5+ years exp

Booz Allen Hamilton is a consulting firm that supports government organizations in leveraging data for impactful outcomes. As a Fraud Analyst, you will utilize your data analytics skills to analyze complex data sets, identify fraud indicators, and provide insights to clients on fraud detection and prevention strategies.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Use your data analytics expertise to support client and stakeholder relationships

Contribute to impactful work and guide decision-making across multiple organizations

Stay current on evolving fraud tactics, emerging technologies, and regulatory requirements

Monitor, analyze, and respond to alerts or incidents related to fraudulent activity, such as Account takeovers, ID theft, tampering or counterfeit checks, insider misuse of access, or falsified information

Conduct fraud-related incident root cause and impact analysis as required and document findings clearly and concisely in case-management systems

Contribute to and lead collaborative discussions with relevant teams on data-driven investigations while maintaining confidentiality and chain-of-custody standards

Support the development of threat models and detection strategies for fraud risk scenarios

Analyze data from fraud and cybersecurity systems to look for trends, recurring behaviors, or gaps in controls

Support the enhancement of fraud detection rules or monitoring processes by providing insights from investigations

Assist in preparing summaries and reports that highlight fraud trends, risks, and prevention recommendations

Support the maturation of the Fraud Risk Management (FRM) program by contributing to fraud risk assessments, enterprise fraud risk management, producing SOPs, and supporting fraud operations

Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL, Python, and Microsoft Office Suite

Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes

Apply data visualization through different formats such as Splunk SIEM, ServiceNow SIR, or Power BI

Grow your communication and technical skills by creating data-centric solutions across the government client enterprise

Qualification

Fraud analysisData analyticsSplunk SIEMSQLPythonData visualizationCybersecurity analysisCommunication skillsAttention to detailCollaborationProblem-solving

Required

5 years+ experience identifying key fraud indicators in structured or unstructured data

Experience conducting qualitative and quantitative fraud analysis

Experience performing in-depth analysis of endpoints, network traffic, and cloud activity to identify malicious or fraudulent behaviors using Splunk SIEM

Experience conducting fraud data or cybersecurity analysis and advising clients on detective or preventative solutions or mitigations to stop additional fraud

Knowledge of cyber-enabled fraud scenarios, including phishing fraud, account takeover, or credential misuse

Ability to manage multiple tasks in parallel while applying close attention to detail and organization

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Bachelor's degree in a Cybersecurity or Data Analytics field