Associate Director - Data Analytics & Systems Integration - Global Investigations & Compliance

Compensation

: $107,876.67 - $142,720.00 /year *

Employment Type

: Full-Time

Industry

: Law Enforcement



Practice Information Navigant's Global Investigations & Compliance team has unparalleled Anti-Money Laundering Investigations, Compliance and Advisory expertise; Anti-Bribery & Corruption, Investigations, Compliance and Advisory expertise; and Public Sector Investigations & Monitoring Services expertise. Our professionals conduct investigations and assess and enhance compliance programs, including internal controls systems; develop and implement training programs and deploy proprietary technological and investigative due diligence protocols for some of the world's largest companies. We combine deep investigative, law enforcement, industry and accounting skills to address all of these of matters. . Responsibilities Analyze compliance and financial crimes systems (i.e. Actimize, SAS, Detica/Norkom, Oracle). Guide clients through selection and implementation of systems, both in modules and in their entirety. Lead projects that include the evaluation, testing and review of supporting documentation for the selection and implementation of detection scenarios, scenario thresholds and name matching algorithms. Develop complex project plans and manage to those plans for high risk implementations. Manage and lead projects by developing project plans and managing to the project plan. Typical deliverables can include documentation of business requirements, creating and implementing test plans, documenting user processes, and documenting interface requirements. Lead and supervise teams in small and large engagements. Training and development of junior team members (e.g., Consultants, Senior Consultants). Responsible for engagement planning and management. Prepare client communications, both written and oral, for senior level review. Lead meetings that include Navigant personnel, vendors, and the client. Client representatives may include senior management, project managers, technology professionals and others. Participate in practice development activities (e.g. client presentations, proposals, write white papers, develop and maintain own network of contacts, and display an awareness of sales opportunities). Qualifications Bachelor's degree from an accredited college/university. 5-7+ years of experience running large scale projects with minimal guidance within financial services. Strong project management and time management skills. Able to manage several projects simultaneously and autonomously, as well as prioritize as necessary. Able to manage all facets of the project (billing, project schedule, project risks, project issues, etc). Experience in a management consulting/advisory company. Previous AML/Sanctions systems analytics experience including creating and reviewing data models; developing, reviewing, and validating data/process flows; reviewing supporting documentation for thresholds, detection scenario selection and matching algorithms; performing tests and reviews of detection scenario functionality. Previous experience implementing vendor based solutions (Nice-to-have: AML/Fraud systems: BAE Systems, Actimize, Oracle Mantas, etc). Strong understanding of corporate governance and the regulatory environment, specifically experience with financial crimes. Direct experience with multiple software platforms that focus on financial crime (e.g. AML and fraud) software for financial services clients. Strong written and verbal communication skills including developing presentations for different audiences (Client Stakeholders, Senior Level Executives, Navigant Leadership, etc). Ability to understand the importance of privileged and confidential information. Ability to travel. Preferred Qualifications: Master's degree or higher in a technical field (e.g. computer science, engineering, statistics, or data science). Understanding of data analytics approaches such as supervised learning, unsupervised learning and reinforcement learning and appropriate applications (e.g., aggregation and reporting, anomaly detection, prediction, natural language processing and auto decision making) required. Working knowledge in R or Python or SAS. Experience with Decision Trees and building strategies using them. Proficient SQL programming skills and advanced spreadsheet skills. Proven experience in leveraging machine learning, data mining or data analytics products and solutions to solve problems in the financial sector. Prior software development experience, especially with highly scalable and distributed systems. Experience programming in R or Python or SAS. Experience with MI technologies deployed on the public cloud or Machine learning as a service (MLaaS). Mental/Physical Requirements Frequently communicates with clients and coworkers and must be able to share information effectively Strong conceptual, as well as quantitative and qualitative analytical skills Flexibility and responsiveness in managing multiple projects in sometimes high-pressure situations simultaneously Self-motivator with ability to work independently Plan, direct, and coordinate work activities of others Frequently travels by airplane, train, or car as necessary to perform work at another locationSalary Range: NAMinimum Qualification5 - 7 years
Associated topics: crime scene, detective, fingerprint, inspector, investigate, investigation, investigative, investigator * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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