Forensic Risk Alliance
Associate, Data Analytics
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Associate, Data Analytics
Data Analytics Associate
About the Role
FRA’s Forensic Technology practice is a specialist global team that specialises in the intersection of data, technology, and high-stakes financial crime and regulatory investigations. We provide support to multinational corporations, regulators, and legal counsel to navigate complex matters in areas such as financial crime, regulatory enforcement, and litigation.
As a Data Analytics Associate, you’ll work on some of the most sensitive and intricate cases, playing a key role in generating data-driven insights that directly impact regulatory outcomes, legal strategies, and executive decisions. You’ll have the opportunity to work with massive, multifaceted datasets across industries like Aerospace and Defense, Gambling, Manufacturing, Crypto, and Financial Services. Unlike larger firms, you’ll operate in lean, dynamic teams with direct exposure to senior stakeholders and subject-matter experts.
What You’ll Do
You’ll support the full analytics lifecycle, with increasing ownership as your skills grow:
- Design data workflows spanning data collection, ETL, analysis, visualisation, and delivery, including structured and semi-structured datasets.
- Apply advanced analytical techniques to detect patterns of fraud, corruption, misconduct, and financial crime.
- Develop reproducible, deterministic, and auditable analytical workflows to ensure outputs adhere to regulatory and legal standards of scrutiny.
- Work with enterprise-level data (ERP systems, transactional records, communications, logs) to reconstruct events and produce evidence-based insights.
- Develop scalable analytical solutions using modern data tools and programming languages.
- Translate findings into clear, legally defensible narrations for non-technical stakeholders, including legal counsel, regulators, and executives.
- Collaborate directly with investigators, forensic accountants, and legal teams on cross-border cases.
- Maintain rigorous documentation of data sources, assumptions, methodologies, and audit trails to safeguard evidentiary integrity.
- Contribute to the development of reusable tools, methodologies, and intellectual property within the practice.
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Technology & Data Environment
You’ll work with a modern and dynamic toolset, including:
- SQL-based platforms (e.g., SQL Server, PostgreSQL, Oracle, DuckDB)
- Python for data processing, statistical analysis, and automation
- Visualisation tools such as Power BI
- Professional development environments (version control via Git, VS Code for application development)
- Cloud platforms (primarily Microsoft Azure)
- Exposure to machine learning, network analysis, and entity resolution techniques
What We’re Looking For
Core Criteria:
- A strong academic background in a quantitative or analytical field (e.g., Computer Science, Engineering, Statistics, Mathematics, Economics)
- Proficiency in SQL and at least one programming language (Python preferred)
- Experience in interpreting large, complex datasets and drawing actionable conclusions
- Background in designing reproducible, traceable analytics that withstand external scrutiny
- A structured, detail-oriented approach to problem-solving
- The ability to clearly communicate complex findings to both technical (e.g., engineers, data scientists) and non-technical (e.g., lawyers, regulators, executives)
- Demonstrated ability to work independently and collaboratively in small teams
Additional Experience (Advantageous):
- Previous work in consulting, forensic analytics, or data-driven investigations
- Familiarity with ERP systems* (e.g., SAP, Oracle, Dynamics) or transactional datasets
- Exposure to fraud detection, financial crime analytics, or compliance monitoring
- Use of statistical or advanced analytic techniques* (e.g., hypothesis testing, regression, anomaly detection, or machine learning)
- Knowledge of version control* (e.g., Git) and development environments* (e.g., VS Code):* ability to integrate traceability, automation, and collaboration into workflows
- *Awareness of data privacy, regulatory compliance standards, or eDiscovery processes
- Experience with cloud or big data technologies
- *Professional certifications (e.g., CFE, CAMS, or relevant technology credentials)
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Languages:
- Fluency in English is mandatory.
- Proficiency in French is a strong advantage.
- Familiarity in German or Arabic is also beneficial.
About FRA
FRA is a market-leading firm specialising in regulatory compliance, financial investigations, and data analytics — handling some of the world’s most high-profile global investigations and compliance matters. We leverage cutting-edge expertise to deliver critical insights, and are consistently recognised as a global leader in our domain.
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FRA is an equal opportunity employer. Our commitment is to hiring the most qualified candidates based on their skills, experience, and potential. We welcome and consider applicants without discrimination on the basis of race, colour, religion, sex, sexual orientation, gender, national origin, age, veteran status, disability, or any other protected characteristic.
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