May 12, 2022
Our customer is a financial services institution, part of a large banking group in Romania.
Here are the main business challenges we addressed in our Solution:
We helped our customer to optimize the loan origination process by increasing the number of offers which are approved on the fast track flow using a Machine Learning and Advanced Analytics pilot project for 6 months.
To decide whether an application needs a middle or top management review we used new optimized criteria and we tracked the portfolio in a streamlined way using interactive dashboards to better understand the impact of the new criteria real-time.
We trained a Machine Learning model and used it to assist the human decision-maker in order to understand when the AI thinks the company is better off approving a new application right away, instead of going to middle or top management review.
Ultimately, we proposed an alternative financing structure for a loan application.
Customers receive a faster approval of the application, therefore, they can receive loans in a faster and easier manner;
Low-risk applications may be approved earlier in the process, thus freeing up the workload of top management and other employees (e.g. risk analysts, middle-office) of reviewing such cases;
Our customer was able to increase its reputation in the financial services and leasing industry, with highlights in terms of the time needed to approve an application and dynamically distinguish the medium to high-risk ones for a more detailed investigation;
Employing Advanced Analytics & Machine Learning techniques aligns with the digitalization strategy in play at company level.
We’d love to hear about your plans for transformation.
Use the form below to send us a message, and we will get back to you within 24 hours.
New Broad Street House, 35 New Broad Street, London, EC2M 1NH
4D Gara Herastrau Street, 2nd Floor
Building C, 020334
+40 31 425 19 08
30 Stirbei Voda Blvd,
Malmo Business Center, 200423
+40 35 142 36 80