Forensic Auditor (OIG)

Position Description

Minimum Education

Bachelor’s degree or equivalent experience

Minimum Experience

5

Summary

Under the Office of Inspector General’s (OIG’s) team approach, the incumbent of this job leads work involving the research, analysis, and/or evaluation of information to assist OIG auditors and investigators with conducting investigations, audits, evaluations, and other reviews. Using sophisticated software tools, the incumbent will independently perform analysis of government databases and open source information, in support of the OIG’s mission to enhance economy, efficiency, and effectiveness as well as to search for anomalies, questionable connections, trends, and patterns that may be indicative of fraud, waste, or abuse in Board of Governors of the Federal Reserve System (Board) or Consumer Financial Protection Bureau (CFPB) programs and activities, to include delegated functions. The information collected and reports generated may be used to prosecute cases, pursue civil or administrative judgments, or assist with identifying/developing audit findings. Effective skills in research, analysis, oral and written communication, planning, and coordinating work activities are critical.

Duties and Responsibilities

• Maintains productive work relationships with federal agencies and other industry experts.
• Helps conduct investigations of persons or entities suspected of being involved in criminal schemes by analyzing data using various analytical tools such as ACL, IDEA, Monarch, and I2 Analyst Notebook. As part of an investigation, the forensic auditor will provide expert advice to special agents and federal, state, and local prosecutors as to his or her findings regarding the financial condition and/or other financial aspects of the case.
• Participates in project planning meetings to help determine the level and nature of data analysis work that will be required for a given engagement.
• Applies professional accounting principles, techniques, and theories in support of audits, investigations, evaluations, and other reviews involving complex subject matters or issues.
• Determines what information should be reviewed and when and how to obtain information; develops and/or modifies methods to ensure thorough and accurate data analysis. Reads, evaluates, and analyzes material received from internal and external sources.
• Develops applications and automated queries to analyze and evaluate data to determine patterns, trends, recurring events, control weaknesses, and anomalies in support of audits, evaluations, investigations, and other reviews.
• Develops additional analytical approaches and/or models. Identifies and recommends additional analytical capabilities (e.g., software, hardware, and data sets).
• Conducts special studies, analyzes data trends, and recommends strategies and actions for meeting program objectives.
• Prepares workpapers that are timely, well written, complete, and supportive of data analysis performed.
• Writes sections of the review report pertaining to the data analysis performed.
• Conducts briefings to present analytical work and defends findings clearly and concisely in a variety of environments.
• May work with special agents to help establish plans for the execution of complex and sensitive investigations of alleged or suspected violations of criminal laws, with particular emphasis on white- collar crime that involves fraud, waste, and abuse.
• Establishes plans for the use of data analytics in extremely complex and sensitive investigations of alleged or suspected violations of criminal laws with particular emphasis on white-collar crime that involves fraud, waste, or abuse.
• For projects of moderate complexity, leads the development and maintenance of forensic auditing analysis in the context of audits, investigations, evaluations, and other reviews.

Position Requirements

REMARKS

• Past performance evaluations may be requested.
• Ability to foster a diverse and inclusive team culture.
• Knowledge of tools and techniques to develop, promote, and mature a culture of data literacy throughout an organization is strongly preferred.
• Knowledge of emerging technologies, such as artificial intelligence, large language models, and natural language processing, and their intersection with data analytics is desired.
• Programing knowledge in Python, R, and SQL.
• Familiarity with Oracle, Peoplesoft, and Salesforce management systems, databases, and analytical software applications, such as ACL, Tableau, and Altair Monarch is highly desirable.
• The OIG’s telework policy requires employees to be physically present in the office a minimum of 4 days per month. Employees may be expected to be physically present in the office more than 4 days per month, as required by business needs.

KEYWORDS : #OIG, #CIGIE, #FRB, #data analytics, #data mining, #data literacy, #information technology, #AI, #Generative AI, #NLP, #Python, #ACL, #Tableau, #Power BI, #Monarch, #R programming