At Sun Finance we strive to ensure that our risk and data science functions operate with the most advanced technologies within the industry, including development of proprietary modelling approaches and synergistic collaboration with key vendors
Every 0,63 seconds our technology processes new loan request. Over 4 million requests are made each month. Decisions are made quickly
Monthly over
4 million
Data driven decisions
Currently
0
Data driven model requests have been processed while you are on this website
We apply machine learning. Data scientists apply several algorithms to automate detection of predictive patterns and apply professional judgement to select the most applicable inputs
Our complex data driven algorithms are able to expand our risk underwriting range when compared with traditional industry models
Tailored risk strategies in each market, combined with contemporary data science solutions, ensure higher approval rates and lower risk
Coverage of traditional lending solutions. Credit bureau data, credit scores, etc.
Coverage of tailored risk underwriting
At Sun Finance we strive to ensure that our risk and data science functions operate with the most advanced technologies within the industry, including development of proprietary modelling approaches and synergistic collaboration with key vendors
While many companies use the buzzwords ‘BIG DATA’, at Sun Finance we actually implement technologies and best practices to make the data work for us and deliver outstanding risk management solutions
We achieve this through a three pillar process:
Combination of best minds in industry both within the IT and Data Science teams working in tandem offer material synergies, allowing us to move quickly, adapt our products based on market need and develop new solutions continously
100+
In-House
Software Engineers
Develop and improve product offerings to our customers
40
In-House Data scientists & analysts
Develop business intelligence and algorithms
2
Seperate development teams in Europe and Asia
Teams can replace or complement each other