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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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAzureCloudHadoopJavaKubernetesMS 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