Empowering FinTech organizations to make better bid pricing with AI/ML

CIGen partnered with a FinTech client in the US to develop a cutting-edge financial technology platform leveraging Azure, AWS, Kubernetes, Azure AD, C# .NET, BLOB Storage, Vue.js, and T-SQL.

The platform utilizes AI and machine learning to minimize investment risks and provide specialized expertise in loan risk analytics, portfolio diligence, and valuation for asset managers.

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Tech stack

Azure

.NET

Kubernetes

BLOB Storage

Azure AD

Vue.js

T-SQL

About
our client

Location

USA

Industry

FinTech

Timeline

May 2019

With AI and machine learning, our client provides a full-service suite of financial technology applications. The company aimed to minimize clients' and partners' investment risks. The goal was to make it an actual financial platform that offered specialized expertise in loan risk analytics, portfolio diligence, and valuation to asset managers.

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The challenge

The main business objective of our client is to acquire a real estate loan pool that comes with thousands of scanned collateral documents. These docs, often unsorted and unstructured, contain essential info about the constituent properties, their lien and title status, details, assignments, and other key variables, which determine the risk profile of the property.

These variables often come as raw datasets that are sometimes hard to interpret for standard software, and that's why they needed a tailored solution. They partnered with CIGen to build a module that can exactly evaluate the risk profile and thoroughly calculate pricing for the deal.

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Collaboration goal

To develop an AI/ML-based application for loan risk management in the financial sector for fact-driven decision-making

Services we delivered

AI / ML

Data analytics

Team composition

CIGen filled the talent and knowledge gap in weeks where the company would have needed months to do so. The line-up included:

Backend Engineers

Frontend Engineer

Project Manager

Quality Assurance

The result

Enhancing bid pricing and risk analytics with advanced technology

The solution developed by CIGen is both flexible and user-friendly, enabling departments to define their own data fields and visualize various parameters through graphs and charts. This system allows users to create pricing model scenarios and execute cloud-based ML algorithms for precise loan calculations.

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Customizable interface: Departments can define specific data fields without development team assistance.

User-friendly system: Authenticated users can adjust parameters and visualize data easily.

Advanced analytics: Subset rules and pricing model scenarios are created with ease.

Fast loan calculations: Cloud-based ML algorithms provide exact loan calculations in seconds.

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Client about our cooperation

The features

Data management Uploading, storing, and versioning tape data from Excel files.

Pricing scenarios Setting up indexes and values into pricing scenarios, managing, and storing them.

Machine learning pricing Utilizing machine learning modules and AWS clusters on demand for each request to price the tape accurately.

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