At a Glance
- Tasks: Analyse complex data to uncover insights that drive regulatory and legal strategies.
- Company: Join a leading firm in financial investigations and data analytics.
- Benefits: Competitive salary, professional development, and exposure to senior stakeholders.
- Other info: Collaborative environment with opportunities for career growth and learning.
- Why this job: Make a real impact on high-stakes financial crime investigations with cutting-edge technology.
- Qualifications: 3+ years in data analytics, strong SQL and Python skills required.
The predicted salary is between 49500 - 60500 £ per year.
About the Role
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
- 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 We’re Looking For
- 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.
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 world’s largest multi-jurisdictional investigations and compliance matters and are consistently recognized as a global market leader.
Data Analyst - Senior Associate employer: Forensic Risk Alliance
FRA is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets expertise in cryptocurrency investigations. With a strong commitment to employee growth, we provide extensive training opportunities and encourage collaboration across teams, fostering a culture of continuous learning and professional development. Our focus on cutting-edge technology and regulatory compliance ensures that our employees are at the forefront of the industry, making meaningful contributions to high-profile investigations while enjoying a competitive salary and comprehensive benefits.
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We think you need these skills to ace Data Analyst - Senior Associate
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
