Associate Director, Financial Crimes Advisory Data & Analytics; External Consulting - Remote, U.S

About the Position

This role is not suited for professionals whose experience is primarily limited to internal AML operations, transaction monitoring production, or non-client-facing compliance roles.

Location:

Remote, U.S.

Experience:

9+ years of financial crimes experience, with at least 5 years in an external advisory, consulting, or professional services environment supporting multiple clients.

• As an Associate Director – Data & Analytics in our Advisory team you will primarily be responsible for leveraging your subject matter expertise and partnering with Financial Crimes Advisory leadership to successfully deliver projects/engagements for clients and execute strategic initiatives designed to grow the Advisory team.
• You will also oversee the work performed by junior Data & Analytics resources to ensure quality and timely delivery of client deliverables.
• Engagement Delivery:
  Lead or participate in multiple, sometimes simultaneous, AML, Sanctions and fraud engagements across the three lines of defense. Projects include but are not limited to model validations, model tunings, data lineage reviews, lookbacks, risk assessments, methodology and procedure review and development, training development and delivery, system implementations, and coverage assessments.
• Act as the lead point of contact (engagement leader) for engagement teams and clients, providing day-to-day direction to engagement teams and coaching/mentoring to team members.
• Evaluate the extent to which clients’ financial crimes models adhere to regulations and guidelines, industry best practices, and provide value-added insights and practical recommendations.
• Prepare reports and written documents utilizing Microsoft Word, PowerPoint, Excel, writing in a clear, concise and articulate manner.
• Provide guidance and oversight to junior team members, reviewing their work and offering constructive feedback to support skill development and enhance overall quality.
• Utilize effective project management practices to ensure deliverables meet client expectations, while the project stays within agreed budgets and timelines.
• Effectively identify, escale and manage risks and issues as they arise during engagements.
• Serve as an escalation point for more junior team members.
• Actively participate in or lead key client meetings.
• Identify opportunities for additional work to be delivered to existing clients.
• Sales and Go-To-Market:
  Take a leading role in contract preparation and budgeting. Support other sales related efforts. Stay up-to-date on emerging regulatory requirements and guidance, as well as industry trends such as AI and Machine Learning use cases and applications. Develop, maintain and nurture an internal and external network of advisory services buyers.
• Internal Initiatives and People Leadership:
  Lead by example and provide leadership to ensure that the mission, core values and strategy of the company are put into practice. Demonstrate support in advancing company revenue and profitability objectives. Assist leadership with the execution of an effective growth strategy for the Advisory business. Train, mentor and develop Advisory Data & Analytics team members. Provide balanced, periodic performance reviews to team members.
  
  Serve as a People Leader to junior team members.

• Bachelor's degree preferred in Mathematics, Statistics, Information System Management, and Data Science (or equivalent). If not available, equivalent years of relevant AML/Sanctions/Fraud experience are required.
• A minimum of nine (9) years of AML/Sanctions/Fraud experience in industry or professional services/management consulting firms in an advisory consulting role.
• A minimum of five (5) years in a managerial or leadership role, managing and directing junior resources.
• Deep model validation and tuning experience with a wide variety of systems (Verafin, Actimize, SAS, etc.)
• A minimum of eight (8) years’ experience using Microsoft SQL and/or other relational databases.
• A minimum of six (6) years of Python experience (or another scripting language for data wrangling/cleaning).
• Strong analytical and quantitative skills, ability to explain a story based on data…