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Berkeley Research Group (BRG)

Data Analyst – Forensics, Technology, Investigations & Discovery

Berkeley Research Group (BRG)

. Apply knowledge of fraud risk, fraud prevention and detection, and data analytics in forensic technology and investigations .

Posted 10/16/2026full-timeUnited StatesMid-LevelSenior💰 $90,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in fraud risk management, data analytics, and forensic technology, with a strong ability to develop anti-fraud strategies and models. Proficient in managing engagement teams and communicating effectively with diverse stakeholders in fast-paced environments.

Highest-signal resume keywords
Fraud Risk ManagementData AnalyticsSQLPythonBig Data Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Fraud Detection ModelsData Science SkillsSupervised Machine LearningUnsupervised Machine LearningSocial Network Analysis
Soft Skills
CommunicationTeam ManagementRelationship BuildingFeedback Provision
Tools & Technologies
HadoopPySparkTableauSpotfireQlikView
Certifications & Qualifications
Certified Fraud ExaminerOracle CertificationMicrosoft SQL Server CertificationAzure FundamentalsCertified Associate in Python Programming
Industry Keywords
E-CommercePaymentsHealthcareBankingRegulatory Investigations

Tech Stack

Tools & technologies
AzureCloudHadoopJavaKubernetesMS SQL ServerOraclePySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • Apply knowledge of fraud risk, fraud prevention and detection, and data analytics in forensic technology and investigations
  • Develop and prioritize anti-fraud strategies, analytics, models, and operations
  • Manage engagement teams and competing priorities
  • Communicate with business, risk, compliance, operations, technology, and analytics stakeholders on client engagements
  • Foster positive working relationships with clients and gather information to perform services
  • Use presentation materials to convey complex ideas to clients and internal staff
  • Manage engagements, prepare concise and accurate documents, and maintain project economics
  • Provide candid, meaningful feedback in a timely manner
  • Keep leadership informed of progress and issues, answer questions, and provide direction to more junior staff
  • Evaluate new tools and products that enhance risk detection and prevention

Requirements

What you’ll need
  • Bachelor's degree in Management Information Systems (MIS), Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science
  • Minimum of three (3) years of professional experience working in regulatory investigations, internal investigations, and compliance remediation work
  • Thorough knowledge of SQL, Python or R, data science skills, supervised and unsupervised machine learning, and social network analysis
  • Considerable experience with big data tools such as Hadoop and PySpark, cloud computing, and cloud machine learning tools
  • Knowledge of the anti-fraud business domain in the e-commerce, payments, healthcare, and banking industries
  • Ability to develop fraud detection rules and/or models deployed in systems such as Actimize, FICO Falcon, SAS Fraud Management, or other platforms
  • Experience with data visualization tools such as Tableau, Spotfire, or QlikView
  • Ability to evaluate new tools and products that enhance risk detection and prevention
  • Ability to manage engagement teams and competing priorities in a rapidly growing, cross-functional, fast-paced, interactive, results-based team environment
  • Ability to communicate with business, risk, compliance, operations, technology, and analytics stakeholders
  • Preferred database and programming certifications such as Oracle, Microsoft SQL Server, Azure Fundamentals, Certified Associate in Python Programming, Certified Kubernetes Administrator, Sun Certified Java Programmer, Microsoft Certified: DevOps Engineer Expert, Azure AI Engineer Associate; CPA; and/or PMI
  • Certified Fraud Examiner (CFE) is a plus
  • Must be able to submit verification of legal right to work in the U.S., without company sponsorship