Current Positions

Data Analytics Manager – Forensic Technology

Job location: Washington, DC

Our client, a major consulting firm, provides assurance and advisory services to US and global clients.  Our client protects opportunities for companies by working with them to strategically prepare for and manage the changeable complexities of the evolving threat landscape and by providing unparalleled resources and insights to investigate fraud, assist in risk management and mitigation, and identify and analyze vulnerabilities – whether in one country or worldwide.

With a strong Forensics presence in more than 25 countries, our client’s strategic threat management approach enables them to work with international clients to anticipate, manage, and respond to threats, while also helping clients become “threat-smart.” Our client’s Forensics professionals possess core forensics capabilities as well as forensic technology expertise and offer an advantage in investigating problems that extend across borders or that afflict multinational organizations.

The firm helps their clients protect business opportunities in today’s evolving threat landscape. They apply advanced, strategic approaches to assist with complex information management challenges as well as combine data analysis techniques, sophisticated technology tools, and information management principles to help their clients make well-informed decisions. By strategically aiding in the preparation and management of threats, our client’s global team helps their clients take advantage of opportunities, develop stronger early warning systems, and become “threat-smart.”

Position/Program Requirements

Knowledge Preferred

• Demonstrates considerable knowledge, and analytic abilities through, leading the development of quantitative data analysis and data mining solutions in support of forensic investigations, litigation, and/ or in responses to regulatory compliance-related inquiries, emphasizing the development of database driven reports and analyses. This includes, but is not limited to, the following:
  •  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-compliant transactions, statistical and economic impact analyses, and development of executive-level reports and dashboard to summarize results.
• Demonstrates considerable knowledge of relational database management system (RDBMS) design and development, 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, and/ or anti-fraud or compliance systems.

• Demonstrated ability to communicate clearly when writing, speaking and/or presenting to client finance and technology personnel, client in-house and outside legal counsel, compliance personnel, investigators, vendors or subcontractors, and forensic data analysis team members.

• Consulting experience or client-service background preferred.

Preferred Degree(s)

• Completed studies of concentration in one or more of the following preferred: Computer Science, Engineering, Information Technology, Mathematics or related sciences, and/or an obtained Masters in Information Systems

Preferred Certification(s)

• Oracle Certified Associate (OCA), Oracle Database Administrator (ODA), Microsoft Certified Technology Specialist (MCTS) or 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)

Skills Preferred

• Considerable knowledge and direct experience doing SQL programming and conducting data mining, as well as conducting query performance and tuning, using Oracle database, MS SQL-Server, MS Access, and/ or SAS.
• Considerable knowledge with any of the following scripting languages: Perl, Python, or Visual Basic.
• Considerable experience identifying and addressing client needs: building, maintaining, and utilizing networks of client relationships and community involvement; communicating value propositions; managing resource requirements, project workflow, budgets, billing and collections; and preparing and/or coordinating complex written and verbal materials.
• Considerable experience as a team leader: supervising teams to create an atmosphere of trust; seeking diverse views to encourage improvement and innovation; and coaching staff including providing timely meaningful written and verbal feedback.