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Senior Consultant - Risk and Compliance (Financial Crimes)

Sia1 day ago
Toronto, Ontario
Senior Level
full_time

About the role

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.

Strategy & Management Consulting

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.

Financial Institutions have drastically changed over the last decade, driven by increased regulatory constraints, diverse competition inside and beyond traditional banking organizations, and emerging technologies reshaping long-standing ecosystems. Sia’s Financial Services Business Unit provides a comprehensive suite of core capabilities designed to address the diverse and evolving needs of our clients, enabling them to navigate complex challenges, seize new opportunities, and achieve their strategic objectives in an increasingly competitive and dynamic business environment.

Job Description

Responsibilities

  • Develop and implement AML and sanctions compliance programs tailored to clients' specific needs and regulatory requirements
  • Conduct comprehensive risk assessments to identify potential money laundering and sanctions risks within clients' operations and provide recommendations for mitigation
  • Review and enhance existing AML and sanctions policies, procedures, and controls to ensure compliance with applicable laws, regulations, and industry best practices
  • Advise clients on the design and implementation of transaction monitoring and screening systems to detect and report suspicious activities and sanctioned entities
  • Provide training and guidance to clients' employees on AML and sanctions-related topics, including identification of red flags, reporting obligations, and internal reporting mechanisms
  • Conduct investigations and due diligence on high-risk clients or transactions to evaluate potential AML and sanctions violations
  • Stay up to date with the latest AML and sanctions regulations, industry trends, and emerging risks, and proactively advise clients on necessary adjustments to their compliance programs
  • Collaborate with cross-functional teams, including legal, risk management, and technology, to ensure effective integration of AML and sanctions controls across the organization

Prepare and present reports and recommendations to clients' senior management and regulatory authorities, as needed

Qualifications

Qualifications

  • Bachelor's degree in a relevant field such as finance, business, or law

  • 4+ years of experience in AML and sanctions compliance within the financial services industry or consulting firm

  • Knowledge of Canadian AML/ATF laws and regulations and industry practices.

  • Knowledge of AML and sanctions regulations, including but not limited to the Bank Secrecy Act (BSA), USA PATRIOT Act, Office of Foreign Assets Control (OFAC) sanctions, and Financial Action Task Force (FATF) recommendations

  • Strong understanding of AML and sanctions typologies, risk assessment methodologies, and transaction monitoring systems

  • Previous support of designing and implementing AML and sanctions compliance programs for financial institutions or multinational corporations

  • Excellent analytical skills with the ability to assess complex situations, identify risks, and develop practical solutions

  • Strong project management skills, including the ability to manage multiple priorities, meet deadlines, and deliver high-quality work products

  • Exceptional written and verbal communication skills, with the ability to effectively present complex information to diverse audiences

  • Professional certifications such as Certified Anti-Money Laundering Specialist (CAMS) or Certified Financial Crime Specialist (CFCS) are highly desirable

  • Experience with data analytics tools and technologies for AML and sanctions investigations is a plus

Additional Information

ADDITIONAL INFORMATION

All your information will be kept confidential according to EEO guidelines.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

About Sia

Technology, Information and Internet
11-50

With the advent of OpenAI's ChatGPT, Large Language Models (LLMs) have become a hotbed of innovation in the AI domain. These advanced deep learning models have the ability to generate human-like text, making them highly effective for a variety of tasks, such as powering conversational AI, providing writing assistance, and aiding in programming tasks.

However, the operationalization of LLM-driven applications in a production environment brings with it a unique set of challenges. These hurdles have given rise to the concept of "LLMOps", a term coined to describe the suite of tools and best practices employed to manage the lifecycle of LLM-based applications, spanning from development and deployment to ongoing maintenance.

While LLMOps is a subset of MLOps, it involves a distinct set of steps in the creation of an LLM-powered application, differing significantly from the processes used in building applications based on traditional machine learning models.

Contrary to training an LLM from ground zero, the emphasis is placed on adapting pre-trained LLMs for specific downstream tasks. This process entails selecting an appropriate foundational model, employing LLMs for task-specific applications, evaluating their performance, and eventually deploying and monitoring the models in real-world scenarios.

Though LLMOps is a relatively new sector within the AI industry, it is poised for significant growth and evolution as the use of LLMs becomes more widespread. In summary, the emergence and growth of LLMs and LLMOps signify a major shift in the development and management of AI-driven products.

Sia is a low-code platform to build production-ready enterprise apps powered by Large Language Models (LLMs).