Data Analyst – Forensics, Technology, Investigations & Discovery

Berkeley Research Group (BRG)

Senior Associate in BRG's FTID practice, focusing on fraud risk, data analytics, and client engagement. Managing teams and applying anti-fraud strategies within a diverse business environment.

Posted 7/25/2026full-timeNew York City • Illinois, New York, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing engagement teams and applying anti-fraud strategies through data analytics and modeling. Proficient in regulatory investigations and compliance remediation, with strong communication skills to engage stakeholders effectively.

Highest-signal resume keywords

Regulatory InvestigationsFraud Detection ModelsSQLPythonData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceCompliance RemediationAnalyticsBig Data ToolsFraud Detection Rules

Soft Skills

Stakeholder CommunicationRelationship ManagementFeedback Provision

Tools & Technologies

HadoopPySparkTableauSpotfireQlikView

Industry Keywords

Management Information SystemsEngineeringAccountingComputer ScienceMathematicsFinanceEconomicsStatisticsData ProcessingData Analytics

Tech Stack

Tools & technologies

HadoopPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Manage engagement teams and competing priorities
Apply anti-fraud strategies, analytics, and models
Communicate with business, risk, compliance, and technology stakeholders
Foster positive working relationships with clients
Provide meaningful feedback and keep leadership informed

Requirements

What you’ll need

Bachelor's degree in Management Information Systems, Engineering, Accounting, Computer Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science
Minimum of 3 years of professional experience in regulatory investigations, internal investigations, and compliance remediation
Knowledge of SQL, Python or R, data science skills
Experience with big data tools like Hadoop and PySpark
Experience developing fraud detection rules/models
Familiarity with data visualization tools such as Tableau, Spotfire, or QlikView

Benefits

Comp & perks

Health insurance
401(k) retirement plan
Paid time off
Professional development opportunities