Fraud Analyst

Booz Allen Hamilton•McLean, VA

About The Position

Fraud Analyst The Opportunity: As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to strengthen government organizations' ability to drive outcomes using data. As a client-facing data analyst on our Civil Sector team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, you’ll also advise your client on what the information means and how it can be used to make an impact on the detection and prevention of fraud. Due to the nature of work performed within this facility, U.S. citizenship is required. How You’ll Contribute: As a data analyst on our team, you’ll: 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 d ocument 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 c ontributing 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. Work with us to drive large-scale business and process decisions through data insights. Join us. The world can’t wait.

Requirements

5 years+ e xperience 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 S IEM
Experience conducting fraud data or cybersecurity analysis and advising c lients 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 task s 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

Nice To Haves

Experience conducting cybersecurity analysis
Experience in scripting or automating to simplify analysis tasks
Experience with OMB A-123, FISMA, NIST , and other federal fraud policies or protocols
Experience with the ServiceNow platform, specifically the SecOps modules, including Security Incident Response (SIR) or equivalent
Experience collaborating with government and contract analysts, incident response, or security operations teams
Experience with fraud and cybersecurity frameworks such as ACFE, COSO, or NIST CSF
Knowledge of authentication practices, such as MFA, login behavior, and identity verification processes
CFE, CFCA, ACAMS, CPA, CISA, Security+, CySA+ , or similar Certification

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 d ocument 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 c ontributing 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.
Work with us to drive large-scale business and process decisions through data insights.