Consulting - Financial Crime Associate July 2026 Intake (FY27)

Our Financial Crime team is regional in nature, operating across six territories in Southeast Asia, partnering with clients to complete a range of work to meet their existing and evolving business needs and objectives. We provide services across three key areas: Advisory, Transformation, and Managed Services. Across each we bring a depth of knowledge and experience that is unprecedented in the market and allows us to support our clients from strategy through execution on areas of compliance, risk management, operational efficiency, and client experience. In this, we bring with us our knowledge of AI and other emerging technologies, deep alliance relationships, and global network of subject matter experts About the role As an Associate, you'll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:Manage the day-to-day project deliverables in accordance with PwC's Global Best AML methodology. PwC's Global Best covers requirements related to suspicious transaction, know-your-customer identification program, OFAC, FATCA, currency transaction reporting, watch-list monitoring and all other laws and regulations and requirements designed to detect and prevent financial crime, money laundering, fraud and terrorism. regulatory and reportorial requirements designed to detect and prevent / Knowledge in Compliance and/or Risk prevention, identification, management, and other processes within the financial services industry Experience in handling highly confidential information with a high degree of discretion and with a focus on maintaining client privacyknowledge of AML (Anti-Money Laundering), Sanctions, Fraud, or Third-Party regulations and KYC (Know Your Customer) or KYS (Know Your Supplier) procedures, not necessary but preferred. Excellent analytical and problem-solving skills. Strong attention to detail and ability to work with large data sets. Ability to work independently and as part of a team. Confident and proactive attitude, with excellent communication skills. Ability to think out of the box and to be assertive in offering solutions to posed problems or situations.High flexibility and detail-orientation with the ability to multitask to meet constant business demands and priorities. Supervisory experience including control/assurance or equivalent. Advance knowledge in Microsoft Excel and strong understanding quantitative modeling or use of AI / ML is preferred Education (if blank, degree and/or field of study not specified)