Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Moody’s Analytics to Power Raymond James’ CECL Calculations

Moody’s Analytics, a leading provider of financial intelligence and analytical tools, announced that Raymond James Financial has selected the Moody’s Analytics Current Expected Credit Loss (CECL) solution to generate CECL estimates for the loan portfolios of its whole-loan-trading clients, and for loan packages intended for purchase or sale.

“Their willingness to listen to our needs and desire to serve our clients, and to move outside their normal framework to accommodate our whole-loan-trading platform set them apart – as did their team of professionals who will make the process of gathering the necessary information as painless as possible.”

The centerpiece of the Moody’s Analytics CECL solution is the ImpairmentStudio™ platform, which lets financial institutions automate allowance calculation, analysis, reporting, and workflow. The solution also supports custom model development, validation, monitoring, and execution alongside a wide range of off-the-shelf loss-forecasting models.

Read More: Interview with Cédric Carbone, CTO at Ogury

As part of their business of providing high-quality analytics of loan portfolios, Raymond James will use the Moody’s Analytics CECL solution to provide their 900+ institutional clients with CECL estimates for their auto, commercial, and mortgage loan portfolios. The ability to generate these estimates quickly and efficiently – backed by rich data sets and robust econometric models from Moody’s Analytics – enhances Raymond James’ ability to furnish clients with superior portfolio-advisory services. The CECL estimates also strengthen the analysis and underwriting of loan packages being marketed for sale.

Related Posts
1 of 3,813

“After interviewing a half-dozen providers, we chose Moody’s Analytics to collaborate with us on CECL because of their data-driven approach to this new requirement for our clients,” said John Toohig, Head of Whole Loan Trading at Raymond James. “Their willingness to listen to our needs and desire to serve our clients, and to move outside their normal framework to accommodate our whole-loan-trading platform set them apart – as did their team of professionals who will make the process of gathering the necessary information as painless as possible.”

Read More: Interview with Christopher McCann, CEO and Co-Founder, snap40

Chartis Research recently awarded Moody’s Analytics the distinction of Category Leader in a study comparing 17 vendors that offer CECL solutions.

“We are excited at the prospect of making our CECL capabilities available to such a wide range of institutional clients,” said Moody’s Analytics Managing Director Eric Ebel. “The impact of CECL on loan portfolios is now a critical consideration, and we look forward to working with Raymond James to continue deploying CECL models across more asset classes.”

Read More: Innovate for Success: Use AI to Monetize your Data

3 Comments
  1. GeraldUrick says

    картинки как нарисовать картинки на ногтях. Как взять кредит webmoney мгновенно? понималка жесты животные скачать торрент

  2. Scrap metal refinishing Ferrous metal logistics solutions Iron scrap reclaiming plant

    Ferrous material recycling expos, Iron scrap shearing, Metal scrap recycling center

  3. Copper scrap prices says

    Copper scrap trading Copper scrap volume purchasing Metal recovery and processing
    Copper cable scrap reception, Scrap metal transportation, Copper scrap advertising

Leave A Reply

Your email address will not be published.