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Vencore Labs delivers transformative results for Research, Engineering, and Technology Products. We are more than a research lab serving many markets including Telecommunications, Energy,  Financial, Life Sciences, Government and Defense.


Financial Analytics Case Study

Financial Analytics

Managing risk in capital and financial markets

Risk assessment in financial markets is imperative to protect against domestic and global economic instability. The U.S. Securities and Exchange Commission’s (SEC) Division of Economic and Risk Analysis is responsible for the integration of financial economics and rigorous data analytics into the core activities of the SEC to monitor and manage risk.

Quantitative financial analytics and collaboration

Vencore Labs has deep experience in information and data modeling, large-scale text and data analytics, database design and management, statistical programming, and project and agile management. To thoroughly address the SEC’s wide-ranging needs, Vencore Labs has successfully teamed with diverse subcontractors from small businesses to a premier regulatory and compliance consulting firm.

Vencore Labs’ extensive capabilities in quantitative analytics and agile project management in combination with our subcontractors’  IT, regulatory and compliance expertise fully support the areas of capital markets and financial industry data analysis, analytical development environment database support and text analytics support.

Enhanced Capacity for Data Analytics

This collaborative approach provides the SEC with enhanced capacity for rigorous data analytics to ensure sound decision making and risk mitigation.


Financial Analytics Features:

Delivering advanced quantitative research analytics

  • Data Extraction

    • Novel application of information extraction tools to parse critical elements

    • High-quality extraction and high-performance processing

  • Information Classification

    • Capability to tag older investor filings with XBRL (eXtensible Business Reporting Language) elements

    • Means to verify that the correct XBRL tag is applied

  • Database Development

    • Data and information modeling and efficient, lifecycle ETL support

    • Deep expertise with diverse database systems and tools for big data