Client
Asset management Fintech
Tech stack
Google Cloud
Solution
Self-service analytics
Service
Data + Analytics
Client
Asset management Fintech
Tech stack
Google Cloud
Solution
Self-service analytics
Service
Data + Analytics
Our client, a Series D-funded fintech, wanted to carry out Population Stability Index (PSI) analysis dynamically across their loan applicants. Their processes were manual and inflexible, giving limited insight when population shifts were identified. Using Looker, Datatonic’s in-house team of experts built a self-serve tool that analyses PSI dynamically across ever-changing populations of loan applicants.
Our client is a fast-growing fintech that brings more efficient credit evaluations and more accurate assessments through deep learning insights. Focusing on fixed income and alternative credit, they offer a variety of discretionary funds to institutional investors (including pension funds and sovereign wealth funds), insurance companies and banks, processing over 90 transactions per minute and handling to-date $4.5b in partnership capital.
Our client wanted to carry out Population Stability Index (PSI) analysis dynamically across their loan applicants. PSI is a common analysis for financial services, to measure if the distribution of credit scores have changed over time periods. A high PSI alerts the business to a change in the characteristics of a population, therefore their credit decisioning model would require updating (or the business takes on additional risk).
There were several blockages for the client’s data science team to get this analysis:
Through Looker, we built a self-serve tool that analysed PSI dynamically across ever-changing populations of loan applicants, with the ability to drill down across a range of variables/KPIs and sped time to insights significantly for the DS team.