Syndicated Loan Data Services

Shorter Settlement Times, More Deals Closed with Minimal Risk and Exposure

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The current syndicated loan deal building process is challenging and complex. Deal teams spend an extensive amount of time interpreting credit agreements and loan documents as well as capturing numerous data fields across various document types. Most financial institutions are still using unwieldy legacy systems to help keep pace with this time-consuming, labor-intensive process that’s highly susceptible to manual error.

If your team is spending an excessive amount time on manual deal building instead of closing deals, eClerx Syndicated Loan Data Services can revolutionize your process.

THE BUSINESS CHALLENGES

Deal Teams spend more time recapturing key data points than closing deals, leading to long settlement timelines, reduced productivity and potentially negative financial outcomes

Significant manual effort required in sourcing data points from loan agreements

Inability to accurately capture key parameters within a client’s risk system

Inaccurate capture and duplication of agreement terms

Deadline driven, labor intensive process that
demands speed and accuracy

SYNDICATED LOAN DATA SERVICES

eClerx Markets leverages extensive domain knowledge derived from working with leading banks to successfully manage over 1 trillion USD portfolios across 3000 deals. Utilizing our strong knowledge base, highly skilled professionals and automation, we help clients reduce the time between origination, deal building and amendments. We quickly respond to banks’ increasing need for fast, accurate document capture and interpretation, enabling our clients to reduce settlement timelines and focus on closing deals.

eClerx Markets has created a single master agreement that covers all loans terms and conditions. Enabling you to source accurate, reliable information from the single initial version, then audit, highlight and process your changes. The mutualization of this process allows firms to reduce cost by up to 65%.

Our revolutionary eClerx Loan Data Service offers cuting-edge technology to transform your Syndicated Loans process

CLIENT BENEFITS

  • Deal closing teams more focused on deals and reducing settlement timelines
  • Dedicated hotline for 24/5 global support for clients
  • Conversion of unstructured data to structured format
  • Industry-ready and tested data models
  • 40% reduction in deal build time can be achieved using machine learning and credit agreements
  • Single source API to North American Syndicate Market – get your deal data built with agent approval
  • Streamline processes for deal’s life cycle including substantial decrease in initial document review
  • Detailed metrics around deal capture coupled with business insights

HOW eClerx GETS THE JOB DONE

  • Business-ready data models for credit agreements
  • Business rules and logic in-place for automated and point and capture
  • User-friendly platform simplifies the deal building process
  • A cost effective digital solution

HOW eClerx GETS THE JOB DONE

  • Business-ready data models for credit agreements
  • Business rules and logic in-place for automated and point and capture
  • User-friendly platform simplifies the deal building process
  • A cost effective digital solution

CLIENT BENEFITS

  • Deal closing teams more focused on deals and reducing settlement timelines
  • Dedicated hotline for 24/5 global support for clients
  • Conversion of unstructured data to structured format
  • Industry-ready and tested data models
  • 40% reduction in deal build time can be achieved using machine learning and credit agreements
  • Single source API to North American Syndicate Market – get your deal data built with agent approval
  • Streamline processes for deal’s life cycle including substantial decrease in initial document review
  • Detailed metrics around deal capture coupled with business insights

EVERY FEATURE YOU NEED

Credit-Loan-Agreement-eClerx-Markets
Syndicated-Loan-Agreement

Credit Loan Agreement

Structured
Document

• Learning based Network
Graph Model
• Used for Attribute
to Page Mapping

• Natural Language
• Processing
Semantic Parcing

• Report containing
Data Points
• Confidence Score
Exception Sheet

• Machine Learning (ML)
• Pattern Matching

Contact us Today to Schedule a 30-minute demo

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