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Description
Estimator 9, developed by FineIT Private Limited, serves as a dedicated automation platform for managing IFRS 9 Expected Credit Loss (ECL) calculations, particularly tailored for international financial institutions. This innovative solution provides audit-ready risk assessments via a comprehensive automated, model-driven system.
The platform facilitates complete ECL calculations by incorporating critical risk variables, including PD, LGD, and EAD modeling, while also integrating relevant discounting factors.
It employs a three-stage classification system along with automated detection of Significant Increases in Credit Risk (SICR).
Moreover, it includes macroeconomic scenario modeling and anticipatory adjustments to ensure full compliance with IFRS 9 standards.
With a deployment footprint spanning over 56 institutions across more than 40 countries, Estimator 9 seamlessly integrates with essential banking systems and general ledgers.
Additionally, it features automated disclosures, stress testing, and validation tools that adhere to GPPC guidelines, thereby ensuring the accuracy and reliability of the data.
Endorsed by Big 4 audit firms, the platform guarantees fast, transparent, and dependable ECL reporting, making it an invaluable resource for financial entities.
Description
Our platform offers ready-to-use APIs that integrate both conventional and alternative credit data sources, facilitating quicker data ingestion for more accurate credit assessments. It features a robust predictor library built on extensive credit expertise, along with pre-configured attributes that enhance credit decision-making. Our proprietary AI and ML credit modeling approach is fully explainable and yields substantial improvement in outcomes. Users can simultaneously run multiple champion-challenger models, allowing for comparative analysis of credit strategies within a single streamlined workflow. Deployment of new credit models and strategies is swift and efficient. Our AI-driven credit underwriting models are not only explainable and FCRA-compliant but also designed to be highly reliable. They include automated and simplified reasoning for adverse actions, ensuring transparency. Comprehensive documentation is provided, detailing the logic behind the models, their robustness, and any limitations. The attributes of our models are subjected to rigorous disparate impact assessments to confirm the absence of bias in their design. Furthermore, our AI credit models offer a wide and varied range of reasons for adverse actions, ensuring that users have a comprehensive understanding of the decision-making process and its implications. Overall, this combination of features empowers organizations to make informed and equitable credit decisions.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Plaid
Pricing Details
Rs 10000
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FineIT Private Limited
Founded
2001
Country
Pakistan
Website
fineit.io
Vendor Details
Company Name
Scienaptic AI
Founded
2014
Country
United States
Website
www.scienaptic.ai/
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation