Compliance Experienced Senior AssociatePwC

Specifically, the successful candidate will be responsible for:

• Leading projects and supporting organizations and regulatory bodies to identify, stop and prevent money laundering and counter-terrorist financing.
• Supporting our capabilities to assess, test and optimize anti-money laundering or sanctions screening systems.
• Leading compliance risk assessment projects including AML/CTF, Sanctions compliance, CDD/KYC process implementation or testing activities
• Reviewing, analyzing and advising on new and evolving regulations, guidelines, laws, standards and their potential impact/ implications for organisations across various sectors.
• Leading the compliance culture, control measures and whistleblowing channels effectiveness assessment.
• Developing data-driven compliance training programs for various clients.
• Researching, reviewing and analyzing latest developments in applicable laws and regulations (e.g. Anti-Money Laundering, Anti-Corruption, Sanctions Laws etc.).
• Leading effectiveness reviews of compliance culture, program and systems, as well as benchmarking against applicable standards and international leading practices.
• Supporting with developing and implementing robust compliance structures, frameworks and policies in organizations.
• Conducting research and supporting with development of capability, proposals and training materials.
• Identifying, investigating and explaining trends and patterns in data using data tools, platforms and analytical tool kits.
• Developing predictive models using machine learning, natural language, and statistical analysis methods such as classification, time-series analysis, regression, statistical inference, and validation tools.
• Using data visualization skills and tools to analyze, package and communicate reports to key stakeholders, both internally and to external clients.

Experience and Qualifications

• A minimum of a First Degree in any discipline is required.
• 3 - 5 years’ experience in Compliance.
• Ability to communicate clearly with colleagues and senior clients.
• A proactive approach to problem-solving and delivering results.
• Strong IT skills, technical depth and analytical capabilities.
• Ability to multi-task simultaneous client engagements.
• Experience in data modeling.
• Experience using data processing tools: R, Python, Spark, or another relevant tool.
• Visualization: PowerBI, Qlik, Tableau, or other relevant tool.