Senior Associate / Manager, Forensic, Data Analytics, Risk Consulting

KPMG China provides multidisciplinary services from audit and tax to advisory, with a strong focus on serving our clients' needs and their industries. Not only do we have an overriding commitment to provide the highest quality services for our clients, but we also strive to become a responsible corporate citizen that has a positive impact on our environment and community. At KPMG, you'll translate insights into action and reveal opportunities for all-our teams, our clients and our world.

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 client
• Providing assistance in business development initiatives
• Developing our core Forensics Data & Analytics capabilities, solutions, and services
• Develop 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 Econometrics
• 3+ years' experience relating to Data & Analytics
• Prior experience in management of and reporting to relevant client and internal stakeholders
• Prior experience in working on probabilistic linkage of large data sets, in data manipulation or in macro language
• Experience in Data Visualization such as creating customized graphical and statistical summaries
• Experience in using scripting languages in the automation of manual processes (e.g. 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 data
• Strong analytical mindset and solid problem-solving skills

Preferred

• Proficiency in spoken and written English and Cantonese / Mandarin is a must
• Strong interpersonal skills including confidence, open-mindedness, diplomacy and empathy and the ability to build credibility
• Previous working experience in other Data & Analytics areas such as data warehousing, data discovery, data governance, and web analytics
• Experience with working in a consulting environment
• Experience with Machine Learning models, such as model validation/model set up, particularly in NLP, LLM and foundation models
• Proficiency in Machine Learning libraries and frameworks such as TensorFlow, PyTorch, Keras etc.
• Familiarity with MLOps best practices
• Experience with data visualization tools such as QlikView, Tableau, Spotfire and PowerBI
• Experience with scripting language such as SQL, Python or VBA, SAS
• Experience with API development and management
• Possess relevant professional qualification or vendor related certification
• Able to manage multiple tasks / priorities and meeting milestones with time, cost, and quality constraints
• Ability to work at pace whilst delivering pragmatic and high-quality outcomes
• Experience with cloud platforms like AWS, Google Cloud, or Azure
• Experience in conducting risk evaluations and formulating as well as executing strategies to alleviate identified risk
• Previous 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 a