Financial Crime Intelligence Data
We help our clients build better defences against financial crime by translating financial crime intelligence into data resources with our simulation and synthetic data engine Synthetizor®
Our Services
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Control Testing
Test your controls against financial crime simulations powered by Synthetizor®. Identify your control vulnerabilities, quantify your potential losses and benchmark your control performance against industry peers.
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Control Tuning
Work with our expert team to fine-tune and improve the performance of your financial crime controls using synthetic data and financial crime simulations powered by Synthetizor®.
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Control Training
Build enhanced machine learning models for financial crime detection using training data augmented with personalised synthetic data and financial crime simulations using Synthetizor®.
Authorised Push Payment (APP) Fraud Solutions
Scam Hunter - Independent APP Fraud Control Testing
Use Scam Hunter our APP fraud testing SaaS solution to test your controls against simulations of hundreds of APP fraud scenarios
🔎 Spot the gaps
Identify the vulnerabilities in your controls against different APP fraud behaviours
⚠️ Test controls against new threats
Continuously test your controls against emerging APP fraud techniques
🛡️ Improve performance
Tune your controls to improve performance
💸 Quantify losses
Measure and report your potential APP fraud losses
📊 Benchmark performance
Compare your control performance against industry peers
Register your interest in our APP fraud control testing solution - Scam Hunter - and join our APP fraud fighting community below
Who do we serve?
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Banks
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Payment Providers
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Building Societies
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FX Exchanges
Why FinCrime Dynamics?
Innovate with us
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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.