Financial Crimes Risk & Compliance SME – Senior Consultant

Financial Crimes Risk & Compliance SME – Senior Consultant

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy.

A digital leader or growing disruptor, everyone must transform themselves to maintain their advantage. The Sia Technology Business Unit supports clients through digital, operations and organizational transformation adapted to their culture and working methods. We help clients strategize and scale leveraging deep expertise and solutions in compliance and risk management, strategic technology partnerships, data science, operations and business analysis and mergers and acquisitions.

Consultants can be located in the NYC metro area, San Francisco Bay Area, or the greater Seattle area.

The Financial Crimes Risk & Compliance Senior Consultant supports clients in strengthening their financial crimes programs through risk-based, data-informed solutions. This role focuses on transaction monitoring, alert dispositioning, and regulatory compliance, helping organizations design and optimize detection frameworks, case handling processes, and governance practices.

Senior Consultants contribute to client engagements by conducting analysis, developing practical recommendations, and collaborating with cross-functional stakeholders across Compliance, Risk, Product, and Technology. They play a key role in translating regulatory expectations into actionable processes, supportinginvestigationsandmonitoringactivities, and enhancing program effectiveness. This position is ideal for professionals who combine financial crimes knowledge, analytical thinking, andstrong communication skills to deliver high-quality, client-focused outcomes.

Key Responsibilities

• Support client delivery on-site or remotely by contributing to project work streams and producing high-quality deliverables
• Manage day-to-day tasks, track timelines, and coordinate activities across stakeholders
• Partner with cross-functional teams (Compliance, Risk, Product, Engineering, and Operations) to design and improve detection, monitoring, and alert disposition processes
• Develop end-to-end processes for suspicious activity detection, review, escalation, and resolutionforvarious Fintech products
• Create and maintain
  
  SOPs, playbooks, and project documentation aligned with regulatory expectations
• Facilitate cross-team discussions to align onprogram scope, standardized approach, and design solutions
• Conduct quantitative and qualitative analysis to support client recommendations and compliance initiatives
• Summarize insights and present findings clearly to clients and internal teams
• Facilitate effective meetings andmaintainclear communication with clients and team members

AIFluency Requirements

At Sia, AI fluency is a key part of how we work and deliver value to clients. We expect team members to integrate AI into their day-to-day in a thoughtful and responsible way, including the ability to:

• UseAI tools independently to increase efficiency and improve deliverable quality (e.g., drafting, synthesis, analysis support, QA).
• Identify practical AI use cases in client and internal contexts that create tangible value (e.g., time savings, error reduction, improved insights).
• Apply
  
  AI responsibly byvalidatingoutputs (sources, logic, calculations) and exercising sound judgment beforefinalizingwork.
• Reviewall AI-generated content for accuracy and…