Associate, Data Analytics
CompanyForensic Risk Alliance
Location
London, England, United Kingdom
Employment TypeFull-time
Posted At4/30/2026
UK Visa Sponsorship Analytics
Occupation TypeActuaries, economists and statisticians
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,100
(£28.26 per hour)
Occupation rate applies
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Description
About the Role
FRA’s Forensic Technology practice 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 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:
FRA’s Forensic Technology practice 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 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
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
What We’re Looking For
- Strong academic background in a quantitative or analytical field (e.g., Computer Science, Engineering, Statistics, Mathematics, Economics, or similar)
- Demonstrated proficiency in SQL and at least one programming language (Python preferred)
- Experience working with large, complex datasets and deriving actionable insights
- 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
- 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)
- Fluency in English is required
- Professional proficiency in French strongly preferred
- Additional languages (German, 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.
www.forensicrisk.com
LinkedIn Page
FRA is an equal opportunity employer committed to hiring the most qualified candidates based on skills, experience, and potential. All qualified applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender, national origin, age, veteran status, disability, or any other protected characteristic.