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About the Role

An Associate in our Forensic Technology practice utilizes their educational background and organizational skills to serve a dynamic client base. Responsibilities include problem-solving, consulting, and fact-finding on active cases and internal initiatives. This role offers the opportunity to understand the business by working on various stages of forensic consulting engagements across diverse issues.

Responsibilities

• Provides data analytics services to clients, including outside counsel, regulators, and companies involved in litigation, investigation, dispute, regulatory, and compliance matters.
• Contributes to forensic engagements related to fraud, anti-money laundering, insurance risks, foreign corrupt practices act (FCPA), disputes, and other matters.
• Develops working relationships with internal and external stakeholders and communicates effectively.
• Supports ETL processes by forensically extracting, cleaning, transforming, and analyzing data for in-depth data analytics for big datasets.
• Performs analyses and takes ownership of assigned workstreams from data gathering through documentation and delivery.
• Prepares high-quality, accurate client deliverables and insights.
• Acts with professionalism and integrity when working with confidential and sensitive information.
• Maintains a proactive and logical approach to information gathering, identifying potential issues and anomalies while presenting complex information clearly and effectively.
• Identifies and researches new trends and tools and understands the data analytics marketplace while working on client engagements.
• Develops expertise in technical programs (SQL, Power BI, Tableau, R, Python).
• Assists with developing documents, procedures, and solutions on non-billable practice development initiatives.
• Works on international projects with potential domestic and/or international travel.
• Audits own work product as well as other team members’ work to ensure quality.
• Other duties as required.

Requirements

• Bachelor’s degree required; focus in Accounting, Analytics, Computer Science, Statistics, Finance, Economics, Engineering, or Information Systems, preferred.
• Leadership experience, preferred.
• Understanding of relational databases, preferably SQL Server.
• Experience with Python, R, and/or other programming languages or tools, preferred.
• Experience with querying structured and unstructured data, cleaning and profiling datasets, building repeatable analytics, and visualizing results, preferred.
• Experience with data visualization software (e.g. Tableau, PowerBI), preferred.
• Familiarity with agentic AI tools and AI-driven workflow automation, preferred.
• Proficient in Microsoft Office Suite, Word, Excel, and PowerPoint, preferred.
• Fluent in one (1) or more languages other than English, preferred.
• Ability to work with a high degree of professionalism and autonomy.
• Demonstrated curiosity and coachability, with a willingness to learn and develop skills in technical programs.
• Excellent verbal and written communication skills, including notetaking and documentation of methods, procedures, and processes.
• Ability to translate complex data into simple, concise business observations.
• Strong organizational skills, with the ability to meet project deadlines and maintain close attention to detail.
• Ability to work in a deadline-driven environment.
• Ability to interact effectively with people at all organizational levels of the Firm.
• Ability to work collaboratively with others while maintaining accountability for your work product.

Skills

• Data analytics
• Forensic accounting
• Fraud investigation
• Anti-money laundering
• Insurance risks
• Foreign Corrupt Practices Act (FCPA)
• Dispute resolution
• Compliance
• ETL processes
• Data extraction
• Data cleaning
• Data transformation
• Big data analysis
• SQL
• Power BI
• Tableau
• R
• Python
• Microsoft Office Suite
• Word
• Excel
• PowerPoint
• Agentic AI tools
• AI-driven workflow automation
• Relational databases
• Querying structured and unstructured data
• Data profiling
• Repeatable analytics
• Data visualization
• Professionalism
• Autonomy
• Curiosity
• Coachability
• Verbal communication
• Written communication
• Notetaking
• Documentation
• Business observation
• Organizational skills
• Attention to detail
• Deadline-driven work
• Collaboration
• Accountability

Experience Level

• Associate

Education Level

• Bachelor's degree

Salary/Compensations

• California Range: $85,000 - $90,000
• Colorado Range: $73,000 - $77,000
• Illinois Range: $78,000 - $87,000
• Maryland Range: $83,000 - $87,000
• Massachusetts Range: $83,000 - $87,000
• Minnesota Range: $70,000 - $74,000
• New Jersey Range: $78,000 - $82,000
• NYC/Long Island/Westchester Range: $83,000 - $87,000
• Virginia Range: $78,000 - $82,000
• Washington Range: $68,000 - $78,000
• Washington DC Range: $83,000 - $87,000