Associate, Data Analytics

Responsibilities

• Design data workflows including collection, ETL, analysis, and visualization across structured and semi-structured datasets
• Apply advanced analytical techniques to identify patterns of fraud, corruption, misconduct, and financial crime
• Implement reproducible and auditable analytical workflows to ensure outputs withstand regulatory and legal scrutiny
• Work with complex enterprise data such as ERP systems, transactional data, and communications to reconstruct events
• Translate complex analytical outputs into clear, defensible insights for legal counsel, regulators, and senior executives
• Maintain rigorous documentation of data sources, transformations, and methodologies to establish clear audit trails

Requirements

• Strong academic background in a quantitative or analytical field (e.g., Computer Science, Engineering, Statistics, Mathematics, or Economics)
• Demonstrated proficiency in SQL
• Proficiency in Python or a similar programming language
• Experience working with large, complex datasets and deriving actionable insights
• Fluency in English

Preferred Qualifications

• Professional proficiency in French
• Experience in consulting, forensic analytics, or data-driven investigations
• Familiarity with ERP systems (e.g., SAP, Oracle) or transactional datasets
• Experience with data visualization tools like Power BI
• Knowledge of version control systems (e.g., Git) and modern IDEs
• Exposure to machine learning, anomaly detection, or network analytics

About the Company

Forensic Risk Alliance (FRA) is a market leader in regulatory compliance, financial investigations, and data analytics. We provide expert assistance on some of the world’s largest multi-jurisdictional investigations and compliance matters, working at the intersection of data, technology, and high-stakes financial crime.