Associate, Data Analytics

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

About the Role
FRAs 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 Youll 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
What Were 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
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 is required
  • Professional proficiency in French strongly preferred
  • Additional languages (German Arabic) are advantageous
About Us
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 worlds largest multi-jurisdictional investigations and compliance matters and are consistently recognized as a global market leader.



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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.



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About the RoleFRAs 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 ...
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We solve complex forensic issues for our multinational clients by leveraging our extensive expertise in forensic accounting, data governance, and compliance consulting services.

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