Financial

Enhancing rigorous data analytics in financial markets

The financial industry generates vast quantities of documents and data. Efficient management, security and analysis of this information is vital alongside the monitoring activity needed to ensure compliance and protect sensitive data.

Regulatory agencies recognize the need to incorporate advanced analytics and machine learning into the management of trends, risks and anomalies in the rapid-fire, hyper-technology-based capital and financial markets over which they have jurisdiction.

Through various roles in working with large banks, financial regulators and numerous federal programs, we have deep expertise in data modeling, scenario simulations and advanced algorithms tailored for a wide range of requirements in the financial markets.

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We offer customized extraction capabilities with high-volume classification and validation functionality. For example, identifying and extracting information contained in massive documents related to public filings or investment offerings can be time-consuming and error-prone. Leveraging efficient data pipeline processing techniques and machine learning, our solutions provide timely and accurate analysis and inference.

Our range of planning, consulting and implementation support in the financial market includes:

Data modeling, integration and reconciliation
Database design and intelligent ETL (extract, transform, load)
Advanced algorithms and machine learning
Text and data analytics
Simulations and predictive analytics
Statistical programming
Data compliance and quality

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Resources

Arroyo data management suite overview sheet (PDF)

Learning Using Privileged Information (LUPI): A powerful analytics and ML paradigm (PDF)

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Financial

Enhancing rigorous data analytics in financial markets

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