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

  • 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.

  • 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®.

  • 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

Prepare For APP Fraud Reimbursements

APP fraud is a rapidly changing financial crime threat that now accounts for roughly 40% of fraud in the UK. From 7 October 2024, financial institutions will be mandated to reimburse the victims of APP fraud in the UK.

 

Measure and Mitigate Your APP Fraud Risks

FinCrime Dynamics has built a new APP fraud testing SaaS service powered by Synthetizor® to help reduce APP fraud risks. The solution has been designed with the input of MLROs, Heads of Compliance, Heads of Fraud and industry leaders in the banking and payments space.

 

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?

  • Banks

  • Payment Providers

  • Building Societies

  • FX Exchanges

Why FinCrime Dynamics?

Experts in Financial Crime Intelligence

Our specialist team and wider 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.

 

Leaders in Financial Crime Simulation and Synthetic Data

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

 

Independent Assurance 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.

 

Innovate with us

  • 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.

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