Job Summary

  • Company
    KPMG PLT
  • Location
    Kuala Lumpur, Putrajaya, Selangor
  • Keywords / Skills
    Forensic,Forensic Accounting,Data Analyst,Data Analytics,Data Analysis,Python,Matlab,Visual Basic,ERP,SQL,Algorithm,Anti Money Laundering
  • Years of Experience
    5 - 10 years
  • Function
    Full Time, Employee
  • Education
    • IT • Finance & Accounts • Legal
  • Role
    • Financial/ Business Analyst • Business/ Strategic Planning - Manager • Other Finance & Accounts
  • Industry
    Consultancy
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Manager / Assistant Manager - Forensic Data & Analytics

Responsibilities:

• Work with teams to provide high-quality, professional day-to-day execution of Forensics related engagements and projects in line with the firm's risk management practices for clients across a wide range of industries.

• Perform data analytics and apply statistical models to identify potential risks and provide business insights from large volume of data.

• Perform forensic data collection and log analysis to understand user behaviour on the electronic devices, including computers and mobiles.

• Responsible for complex data cleansing, mapping and modelling of various forms of data; responsible for data recovery and timeline analysis.

• Assist with designing and presenting data visualization results to client stakeholders and top managements.

• Perform data processing and filtering on the electronic evidence file and provide eDiscovery support; understand the eDiscovery workflow and present the data according to the specific requirements by regulators.

• Assist with developing analytical and automation tools to improve the data processing efficiency and optimizing the workflow.

• Work under direction of project managers to research and utilize state of the art analytics and forensic technology in projects.

• Produce quality working papers and assist in drafting reports and proposals.

• Enthusiastic to get involved in marketing activity and in developing the Forensic practice.

Requirements & Qualifications

• A minimum of five years’ experience (3 years for Assistant Manager) in an Advisory firm (Big 4, mid-tier or general consultancy) or AML function / relevant forensic technology area at a financial institution.

• A bachelor degree holder or above in Computer Science, Mathematics / Statistics, Information Security, Information Management or equivalent or related disciplines.

• Sound technical background of data analytics in SQL / R / Python / Matlab / VBA.

• Understand the basics of desktop OS platforms (Windows, Linux, MacOS), mobile OS platform (IOS, Android), and familiar with the system artifacts and the tools to analyze the artifacts.

• Demonstrate excellent analytical and problem solving skills, self-motivation and possess an enquiring mind.

• A team player with strong people management skills.

• Has passion for data analysis, forensic technology, technology and mining insights from data.

About Company

KPMG first established a presence in Malaysia in 1928 and the Malaysian firm has grown to be a part of the global success of KPMG's network of firms. KPMG's operations in Malaysia are carried out in association with KPMG Desa Megat & Co. The Malaysian firm has over 2,000 staff located across 8 offices.

Our single management structure for all our Malaysia offices allows efficient and rapid allocation of experienced professionals wherever the client is located in the country. The flexibility of this single structure allows us to effectively serve companies across Malaysia, and we have many projects where professionals from different offices work together on a work engagement under the supervision of a single nominated client partner, who has operational control of all resources.

We have established industry groups which enable the delivery of targeted, industry-specific experience, expertise and methodologies. The focus on industry and country-specific knowledge helps us deliver exceptional people with an intimate knowledge of our client’s specific business issues, deep industry expertise as well as an overriding commitment towards service excellence.