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Open nowPosted 28 days ago

Financial Crime Senior Manager

MyCareersFuture94,028 open roles

Pay
SGD 9,500 – SGD 18,000 a month
Where
Central, Singapore
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Your applicationOpen nowFinancial Crime Senior ManagerMyCareersFuture · Central, Singapore
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  5. 33.7%30 days
This job: posted 28 days ago

The posting

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

About the Role As a Senior Manager, 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:

  • Proactive management of our clients, while reporting to Directors and above
  • Train and lead staff
  • Establish effective working relationships directly with clients
  • Contribute to the development of your own and team’s technical acumen
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Continue to develop internal relationships and your PwC brand
  • 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.
  • Conducts testing and review to assess Financial Crime or Third-Party Risk Management people, process and systems in adherence to policies and best practices
  • Investigates, evaluates, reports and monitors suspicious transactions
  • Identifies Financial Crime. Third Party or other risk implications connected with existing as well as new clients, products, systems, procedures, and emerging risk areas
  • Provides recommendations that assist companies comply with regulatory and reportorial requirements designed to detect and prevent / monitor financial crime, money laundering, fraud, terrorism, or third-party risks
  • Keep up to date with local and national business and economic issues and significant regulatory developments
  • Works in a multi-cultural environment

Qualification:

  • College degree in Finance, Business, Economics, Computer Science or related field.
  • At least 11 years of experience or extensive knowledge in Compliance and/or Risk prevention, identificaton, 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 privacy
  • ​​​​​Strong knowledge 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.​​
  • ​​​Professional certifications such as CAMS (Certified Anti-Money Laundering Specialist), FRM, CFE are a plus.​​
  • 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.
  • Resilient to challenges and setbacks, receptive to feedback and continued learning, enthusiastic and motivated to work in a fast-paced and high-pressure environment.
  • Focused on meeting delivery and quality targets.
  • Supervisory experience including control/assurance or equivalent.
  • Advance knowledge in Microsoft Excel and strong understanding quantitative modeling or use of AI / ML is preferred
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