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

by utilising synthetic data and simulation testing

What FinCrime Dynamics does

  • Financial crime and fraud control testing: We work with financial institutions to create custom financial crime and fraud threat testing programmes by deeply understanding their business, systems and potential threat exposures.

  • Simulation and synthetic data solutions: We use synthetic data and simulation techniques to help safely find gaps and errors in controls before real criminals exploit them.

  • Service and product offerings: We offer a range of services and products to help effectively improve anti-financial crime and fraud controls tailored to the problem at hand.

  • Industry engagement: FinCrime Dynamics engages with financial institutions, government, and law enforcement to promote intelligence sharing and collaboration in the fight against financial crime and fraud.

Who we work with

  • Banks

  • Payment companies

  • Neo banks

  • Crypto firms

  • Foreign exchanges

  • Consultancies

Why FinCrime Dynamics?

Experts in financial crime and fraud

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

Leading financial crime and fraud data resources

Our technology solution Synthetizor® is a specifically designed synthetic data generation engine for anti-financial crime and fraud 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 and fraud controls. This independence allows us to assess and improve our clients’ anti-financial crime and fraud controls without a conflict of interest.

Using synthetic data to fight financial crime and fraud

  • Simulate financial crime and fraud

    Test your anti-financial crime and fraud controls in a safe way using simulations of financial crime and fraud behaviours. Measure your performance against simulations of known financial crime and fraud techniques as well as self-customised scenarios.

  • 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.