Financial Crime and Fraud Intelligence Data

We help our clients build better defences against financial crime and fraud

Our services and solutions

Fraud Control Assessment

Our team of experts will help you identify and fix critical gaps in your fraud defences before real fraudsters do

Sanctions Testing

We help you design and test your sanctions and PEPs screening solutions

Bespoke Testing

Access our expert team and data engine for bespoke data solutions

Case Reader

Upload, analyse and understand your fraud and financial crime cases

Scam Hunter

Test your APP fraud defences using a curated library of real-world scam scenarios

Synthetizor

Create high-fidelity synthetic datasets at scale to fight fraud and financial crime

Why FinCrime Dynamics?

Experts in financial crime intelligence

Our specialist team and wider SME community is made up of world leading experts in financial crime intelligence with decades of experience in anti-financial crime compliance, machine learning and data science.

Leading financial crime data resources

Our technology solution Synthetizor® is a specifically designed synthetic data generation engine for anti-financial crime applications that contains the world’s most comprehensive library of financial crime and fraud behavioural simulations.

Independent testing provider

FinCrime Dynamics is not affiliated with any individual financial institution or provider of anti-financial crime controls. This independence allows us to assess and improve our clients’ anti-financial crime controls without a conflict of interest.

Using synthetic data to fight financial crime

  • Secure Data Privacy

    Synthetic data helps mitigate the data privacy concerns when using real private data. Synthetic data retains the analytical qualities of real data but cannot be traced back to the original source, unlike anonymised data.

  • Superior Data Quality

    Synthetic data retains the analytical traits of source data. Data quality can be improved by cleansing and reducing bias. Customised labelling of your data for more effective testing.

  • Scalable Data Generation

    Synthetic data allows for large amounts of data to be quickly generated from small source data sets. This circumnavigates the need to continually gain access to and cleanse real data sets.

  • Simulate Financial Crime

    Test your financial crime controls in a safe way using simulations of financial crime behaviours. Measure your performance against simulations of known financial crime techniques as well as self-customised scenarios. Label your data with financial crime simulations for effective control testing.