Job Title Sr. Associate Data Analytics
Location Los Angeles, CA
Job Type Full-Time Regular
Job Description




The Sr. Associate Data Analytics is a member of the Forensics Services Advisory Practice.  He/she helps clients strategically prepare for and manage the complexities of the evolving threat landscape by providing unparalleled resources and insights to investigate fraud, assist in risk management and mitigation, and identify and analyze vulnerabilities.

The Sr. Associate Data Analytics works with international clients to anticipate, manage, and respond to threats, while helping them become "threat-smart."  He/she will have core forensics capabilities and technology expertise that provide clients a unilateral advantage in investigating problems that extend across borders or afflict multinational organizations.  He/she will apply advanced, strategic approaches to assist clients with complex information management challenges using forensic data analysis techniques, sophisticated technology tools, and information management principles that allow clients to continue their business, recover lost funds, halt further economic losses, and mitigate risk.  He/she will assist clients with requirements analysis, software vendor selection, integration customization, and tuning of anti-fraud, compliance, anti-money laundering (AML) and risk-management technology.

Primary Requirements:

Bachelor’s degree is required.  Higher education is a plus.

Certifications are preferred such as; Oracle Certified Associate (OCA), Oracle Database Administrator (ODA), Microsoft Certified Technology Specialist (MCTS), Microsoft Certified IT Professional (MCITP) in Database Development, Certified Fraud Examiner (CFE), SAS Certified Base or Advanced Programmer certifications, Certified Information System Auditor (CISA), Project Management Professional (PMP).

A minimum of three (3) years’ experience in management consulting; delivering Data Analytics and Forensic Technology Advisory services.

Thorough knowledge and analytic abilities to lead the development, quantitative data analysis, and data mining solutions in support of forensic investigations, litigation, and response to regulatory compliance related inquires; emphasizing the development of database driven reports and analyses.

Strong understanding and working knowledge of relational data base management systems (RDBMS) design, development and requirements analyses, software vendor selection, integration customization, and tuning of anti-fraud, compliance, anti-money laundering (AML), and risk management technology.

Direct experience with conducting requirements analysis, design, hands-on development of analyses, and supervision of Associates who will support the development of analyses.

Working knowledge of accounting, finance, statistical analysis techniques, forensic investigative techniques, anti-fraud, and compliance systems.

Ability to communicate clearly when writing, speaking and presenting to client finance and technology personnel, legal counsel, compliance staff, investigators, vendors, and members of the enterprise forensic data analysis team.

Proven ability and direct experience summarizing and presenting results of analyses to Senior Management in a concise, clear, and effective manner.

Supervisory and team leadership skills and experience.

Direct experience doing SQL programming, conducting query performance, and tuning using Oracle database, MS Access and/or SAS.

Thorough knowledge with scripting languages such as Perl, Python or Visual Basic.

Experience identifying and addressing client needs, resolving issues related to business and system requirements, and adding significant value in the analysis design process.

Strong project management skills and experience preparing budgets, work plans, status reports, and client ready deliverables.

Identification and integration of data from a variety of sources, assessment of data quality and its potential impact on analyses.

Development of rules to detect fraudulent or non-compliance transactions, statistical and economic impact analyses, executive level reports, and dash boards to summarize results.

Travel requirements: up to 75%.




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