Data Scientist, Audit (MJ007386)

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

Audit Quality and Professional Practice (AQPP) collaborates with our colleagues in the Audit Practice to strengthen audit quality, automation and the use of data. We transform our audits through upskilling our people and the creation and deployment of insightful data and analytics and efficient audit enablers that standardize, simplify, centralize and automate our audits.

Key Responsibilities

Design and develop standardised data and analytics routines to be performed by colleagues in our delivery centres to centralise and automate common audit procedures.

Collaborate with audit teams to design bespoke data and analytics routines for our largest audit client engagements. This includes analysing available data tables from the client, identifying and verifying relationships between them, and mapping out how they can be joined. Propose data and analytics routines that identify outliers that address the risks of material misstatement of accounts. Analyze large datasets to identify trends, anomalies, and areas for further investigation.

Evaluate and select the most suitable software tools (e.g., Alteryx, Power BI, Databricks, Fabrics, Azure) for performing data analytics or data science solutions.

Build visualization dashboards to investigate / present results from the audit data analyses.

Explain the processes and outcomes of software tools or data analytics routines to audit teams. Assist teams with required documentation to evidence the results of the d