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
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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.
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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.
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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.
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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.