Senior Associate - Financial Crime (FIRE)

About the role

PwC's Financial Crime line of service (FIRE) is looking for a Senior Associate. You will work in a team of consultants with extensive consulting and industry experience, helping clients solve complex business issues from strategy to execution. The role sits within the Fraud, Investigations & Regulatory Enforcement practice.

Key responsibilities

• Assist proactively in managing several clients, reporting to Managers and above, and establish direct working relationships with clients
• Manage day-to-day project deliverables in line with PwC's Global Best AML methodology, covering suspicious transaction reporting, KYC, OFAC, FATCA, currency transaction reporting and watch-list monitoring
• Conduct testing and reviews of Financial Crime and Third-Party Risk Management people, processes and systems against policies and best practices
• Investigate, evaluate, report and monitor suspicious transactions, and identify financial crime, third-party and other risks linked to clients, products, systems and procedures
• Provide recommendations that help companies comply with regulatory and reporting requirements on financial crime, money laundering, fraud, terrorism and third-party risks
• Stay up to date with local and national business, economic and regulatory developments, and contribute to business development and client relationship building

Required profile

• College degree in Finance, Business, Economics, Computer Science or a related field
• At least 3 years of experience or extensive knowledge of compliance and/or risk prevention, identification and management in financial services
• Experience handling highly confidential information with discretion and a focus on client privacy
• Supervisory experience including control/assurance or equivalent
• Professional certifications such as CAMS, FRM or CFE are a plus

Required skills

• Strong knowledge of AML, sanctions, fraud, third-party and KYC/KYS procedures (preferred)
• Excellent analytical and problem-solving skills, attention to detail and ability to work with large data sets
• Ability to work independently and in a team, with strong communication skills
• Advanced knowledge of Microsoft Excel and quantitative modelling or use of AI/ML preferred