Risk Data and Modelling Specialist

Role Overview

The Risk Data and Modelling Specialist manages the full lifecycle of tax-related data assets, including gathering, cleaning, storing, and analyzing tax information from multiple systems. The specialist creates statistical and predictive models to aid in risk evaluation and strategic decision-making related to tax compliance. Additionally, the role collaborates with IT to enhance analytical tools and advocates for robust data governance standards to ensure data integrity, security, and appropriate access within Tax departments.

Key Responsibilities

• Supervise the entire tax data lifecycle, ensuring data is obtained from internal and external sources, validated, cleansed, and properly stored.
• Implement and oversee data governance policies to guarantee quality, consistency, security, and controlled availability of tax data, maintaining centralized data dictionaries and metadata repositories.
• Conduct statistical and exploratory analyses of tax datasets to uncover patterns significant for compliance risk and operational metrics.
• Design and evaluate predictive and analytical models that facilitate risk-based tax assessment, audit prioritization, and monitoring of tax discrepancies.
• Create sophisticated dashboards and analytical reports that support tax authority operations and strategic initiatives.
• Compile structured analytical outputs for senior leaders, highlighting key performance indicators, trends, and sector-specific insights.
• Engage with various departments regularly to determine their data and analytics requirements, identify deficiencies, and harmonize data sources and formats with operational needs.
• Prepare lists detailing missing or incomplete tax data necessary for official functions and risk evaluations.
• Partner with IT teams to develop and upgrade analytical applications including predictive analytics and automated reporting tools supporting tax risk assessment and management.
• Evaluate international tax data exchanged through relevant mechanisms, assessing its applicability for compliance and risk analysis.
• Provide guidance to regulatory and operational units on utilizing data insights for urgent or critical cases demanding prompt responses.
• Review and generate analytical materials as requested by the International Cooperation division, aligning with regulatory frameworks.

Preferred Qualifications and Experience

• Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related discipline.
• Master’s degree in a similar field is advantageous.
• Relevant professional certifications are valued.
• Over 16 years of experience in data analytics, statistical modelling, or risk analytics within tax administration, governmental, or financial/compliance sectors.
• Proven expertise in tax data structures, analytical toolsets, and principles of data governance.
• Strong competency in data analysis, modelling, and use of business intelligence tools.
• Skilled at transforming complex datasets into actionable insights and decision-making support.
• Effective in liaising with both technical and non-technical stakeholders.
• Meticulous attention to data quality, architecture, and privacy.