Hong Kong - Associate Director, Risk Consulting, Forensic

Hong Kong, Hong Kong
Aug 14, 2022
Aug 28, 2022
Job Function
Risk Management
Industry Sector
Finance - General
Employment Type
Full Time
Service Line Overview
KPMG China has experienced forensic resources based in Beijing, Shanghai and Hong Kong. We provide clients with commercial and financial expertise in the areas of Anti-money Laundering/ Counter Terrorist Financing and Sanctions Compliance Services, Fraud Risk Management, Forensic Technology, Investigations, Cyber Response and Forensic Accounting services. We worked with industry professionals in Asia Pacific, and worldwide through the KPMG International Forensic network of over 3,600 professionals to conduct successful enquiries and analyze financial information across numerous jurisdictions.

Key Responsibilities
  • Lead a core group of forensic analytic professionals, reporting to the Forensic Hong Kong partnership team
  • Collaborate with other Associate Directors, to support our existing teams with specific analytic skills to identify market intelligence, potential threats and insights across the service areas
  • Provide thought leadership and constant innovation to develop a forensic analytic suite in line with our KPMG global brand to cater to our existing clients and to develop opportunities and referrals in adjacent non-competing market spaces
  • Involve partnering with the wider KPMG technology teams to identify and develop new technologies to cater to a new generation of clients with the financial and non-financial services sectors

Experience & Background
  • A bachelor's degree holder or above in Compliance, Computer Science, Information Security, Information Management or equivalent or related disciplines.
  • At least 8 years' of relevant working experience in either industry and/or professional services in at least one of the following areas:
    • Anti-Money Laundering or Financial Intelligence & Investigations
    • Cyber Response or Cyber Threats
    • Anti-Bribery & Corruption
    • Fraud Risk
    • Market Surveillance
  • Data analytic skills such as but not limited to those below are required to lead our team and to drive change:
    • Demonstrated expertise in machine learning techniques - e.g., logistic regression, random forest, support vector machine, cluster analysis, KNN, naive Bayes, dimensionality reduction, Bayesian methods and time series modelling
    • Experience in working with Databases and ERP systems (SAP, IBM DB2, Oracle), data visualization techniques and software such as IBM i2, Tableau, Blue Prism or Spotfire
    • Hand-on scripting and programming experience with common data science tools such as Python, R, SQL, Matlab, C++, C# or Scala
  • Experience with managing a small team, collaborate laterally with peers whilst dealing directly with clients and other senior stakeholders
  • Project management skills including planning, designing and shaping project work streams, managing progress, resolving issues and limiting risks are also necessary
  • Quick learner, ability to work under pressure and deliver high quality work
  • Good communication skills in English and team player
About KPMG
At KPMG China, we are committed to being an equal opportunity employer, with zero tolerance for any form of discrimination against any persons. It is important for us to create an inclusive, diverse and agile workplace for our people to develop and thrive at both a personal and professional level.
We strive to make ESG (environmental, social and governance) a watermark running through our organisation; from empowering our people to become agents of positive change, to providing better solutions and services to our clients. To lead by example, we launched Our Impact Plan (OIP) which includes our ESG commitments and progress across four key pillars - Planet, People, Prosperity and Governance.
We encourage you to come as you are, and we welcome all qualified candidates to apply, and hope you unlock opportunities with us. Visit KPMG China website for more company information.
Please note that all information in this form has been voluntarily supplied and will be used by KPMG for selection purposed only.

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