Associate, Forensic, Data Analytics, Risk Consulting
4 weeks ago
Service Line Overview
KPMG Forensic leverages our vast industry experience and leading technologies to help clients handle fraud and misconduct investigations, address complex regulatory compliance issues, and provide dispute advisory support in financial disputes that are likely to lead to litigation, arbitration, expert determination or mediation.
Our team have qualifications and experience in forensic accounting, big data analytics, technology, anti-money laundering/Sanctions compliance, law enforcement and research. We have dedicated Forensic Technology labs in Shanghai and Hong Kong and are equipped with capability and experience to analyze and host terabytes of data in local jurisdictions. We have leading hardware equipment and are keeping learning and strengthening our technique capacity to address rising market needs on big data analytics, computer forensics and cyber incident responses.
We have worked with industry professionals in Asia Pacific, and worldwide through the KPMG International Forensic network of over 3,000 professionals to provide one-stop solution for complex projects across numerous jurisdictions.
Key Responsibilities
As part of this team, you will be providing specialized consulting services in modelling and data visualization, including solution design, solution development and implementation, to clients across different industries. Additional responsibilities include:
Delivering quality services to clientProviding assistance in business development initiativesDeveloping our core Forensics Data & Analytics capabilities, solutions, and servicesDevelop and manage tools for process automation, model validation, testing, and implementation
Experience & Background
Essential
Bachelor's degree, preferably in Computer Science, Computer Engineer, Mathematics, Statistics, Machine Learning or Econometrics1+ years' experience relating to Data & AnalyticsPrior experience in management of and reporting to relevant client and internal stakeholdersPrior experience in working on probabilistic linkage of large data sets, in data manipulation or in macro languageExperience in Data Visualization such as creating customized graphical and statistical summariesExperience in using scripting languages in the automation of manual processes ( VBA/SAS/Python)Experience in using SQL, R/Python or SAS on performing statistical analysis such as distribution analysis, outlier analysis, Data Mining and Rules based Modelling on categorical dataStrong analytical mindset and solid problem-solving skills
Preferred
Proficiency in spoken and written English and Cantonese / Mandarin is a mustStrong interpersonal skills including confidence, open-mindedness, diplomacy and empathy and the ability to build credibilityPrevious working experience in other Data & Analytics areas such as data warehousing, data discovery, data governance, and web analyticsExperience with working in a consulting environmentExperience with Machine Learning models, such as model validation/model set up, particularly in NLP, LLM and foundation modelsProficiency in Machine Learning libraries and frameworks such as TensorFlow, PyTorch, Keras etc.Familiarity with MLOps best practicesExperience with data visualization tools such as QlikView, Tableau, Spotfire and PowerBIExperience with scripting language such as SQL, Python or VBA, SASExperience with API development and managementPossess relevant professional qualification or vendor related certificationAble to manage multiple tasks / priorities and meeting milestones with time, cost, and quality constraintsAbility to work at pace whilst delivering pragmatic and high-quality outcomesExperience with cloud platforms like AWS, Google Cloud, or AzureExperience in conducting risk evaluations and formulating as well as executing strategies to alleviate identified riskPrevious experience with database administration and application tools
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 help them achieve their ESG goals. View Our Impact Plan to learn more about our ESG commitments and progress across four key pillars - Governance, People, Planet and Prosperity - and how we make a positive impact on our people, environment and society.
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.
You acknowledge and agree that all personal information hereby provided regarding yourself will be used by KPMG China for its candidate selection purposed only. KPMG China collects, uses, processes, and retains your personal information in accordance with KPMG China's Online Privacy Statement and/or KPMG China Privacy Statement (collectively "Privacy Statement"). During the recruitment process, KPMG China may need to store personal information of candidates in a designated third-party application tracking platform.
If you have any questions regarding the information you provided in the form or your job application in general, please contact KPMG China's HR personnel in the location where your application is submitted.
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