Data Analyst - Senior Associate

FRA is a specialist global team at the intersection of data, technology, and high-stakes financial crime and regulatory investigations. We support multinational corporations, regulators, and legal counsel in navigating complex issues including financial crime, regulatory enforcement, and litigation. As a Data Analytics Senior Associate, you will work on some of the most sensitive and complex matters, contributing to data-driven insights that directly inform regulatory outcomes, legal strategies, and executive decision-making. You will have the opportunity to work with large multifaceted datasets across multiple industries such as Aerospace and Defense, Gambling, Manufacturing, Crypto and Financial Services. Unlike larger firms, you will operate in lean, high-performing teams with direct exposure to senior stakeholders and subject matter experts. What You’ll Do You will contribute across the full analytics lifecycle, with increasing ownership as you develop:

• Design data workflows spanning data collection, ETL, analysis, visualisation, and delivery across structured and semi-structured datasets
• Apply advanced analytical techniques to identify patterns of fraud, corruption, misconduct, and financial crime
• Implement analytical workflows that are fully reproducible, deterministic, and auditable, ensuring that outputs can be independently validated and withstand scrutiny in regulatory and legal contexts
• Work with complex enterprise data (ERP systems, transactional data, communications, logs) to reconstruct events and generate evidence-based insights
• Develop scalable analytical solutions using modern data tools and programming languages
• Translate analytical outputs into clear, defensible insights for non-technical stakeholders including legal counsel, regulators, and senior executives
• Collaborate closely with investigators, forensic accountants, and legal teams on cross-border matters
• Maintain rigorous documentation of data sources, transformations, assumptions, and methodologies to establish clear audit trails and evidentiary integrity
• Contribute to the development of reusable tools, methodologies, and intellectual property within the practice

Technology & Data Environment You will work with a modern and evolving technology stack, including:

• SQL-based data platforms (e.g., SQL Server, PostgreSQL, Oracle, DuckDB)
• Python for data processing, statistical analysis, and automation
• Data visualisation tools (Power BI) for storytelling and reporting
• Professional development environments and tooling (e.g., version control systems such as Git, and modern IDEs such as VS Code) to support controlled, traceable, and reproducible analytical workflows
• Cloud platforms (primarily Microsoft Azure)
• Exposure to machine learning, network analytics, and entity resolution techniques

• 3+ years of professional experience working in data analytics or a related field
• Demonstrated proficiency in SQL and at least one programming language (Python preferred)
• Experience working with large, complex datasets and deriving actionable insights
• Strong academic background in a quantitative or analytical field (e.g., Computer Science, Engineering, Statistics, Mathematics, Economics, or similar)
• Experience developing analytics that are reproducible, traceable, and methodologically robust, particularly in environments subject to external scrutiny
• A structured and rigorous approach to problem-solving, with high attention to detail
• Ability to communicate complex concepts with clarity to both technical and non-technical audiences
• A proactive mindset, with the ability to operate effectively both independently and within small teams

Additional Experience (Advantageous)

• Experience in consulting, forensic analytics, or data-driven investigations
• Familiarity with ERP systems or transactional datasets (e.g., SAP, Oracle, Dynamics)
• Exposure to fraud detection, financial crime analytics, or compliance monitoring
• Experience applying statistical and advanced analytical techniques (e.g., hypothesis testing, regression, anomaly detection, or machine learning)
• Experience working with version control systems (e.g., Git) and structured development environments (e.g., VS Code or similar), with an understanding of their role in ensuring traceability, collaboration, and reproducibility
• Knowledge of data privacy, regulatory frameworks, or eDiscovery processes
• Experience with cloud or big data technologies
• Professional certifications (e.g., CFE, CAMS, or relevant technology certifications)

Languages

• Fluency in English and professional proficiency in French is required
• Additional languages (German, Spanish, Arabic) are advantageous

FRA is a market leader in regulatory compliance, financial investigations, and data analytics. At FRA, we are regularly engaged to provide expertise on some of the world’s largest multi-jurisdictional investigations and compliance matters and are consistently recognized as a global market leader.