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Data Science & Technology

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

Data driven decision making

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


How it works

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

Coverage of traditional lending solutions. Credit bureau data, credit scores, etc.

Coverage of tailored risk underwriting

The best risk tools in industry coupled with best in class team driving our success

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

State of the art technology

Talented professionals

Risk assesment

Tailored offer generation

Knowledge sharing

We achieve this through a three pillar process:

Best in class
team

  • Our team consists of the best minds in industry with significant experience
  • Collaborative environment supports sharing of best practices
  • Internal data academy furthers knowledge sharing

Proprietary in-house solutions

  • Risk solutions developed in-house based on internal expertise creating a competitive edge over other players
  • Flexible IT platform allowing fast implementation of new models and scoring approaches
  • Proprietary AI image processing, materially reducing fraudulent activities and need for manual verifications

Collaboration with vendors

  • Proactive implementation and use of the latest external platforms where we see more added value than internally developed services
  • Close collaboration with services by sharing our best practices in innovative modelling and suggestions in system improvements
  • Team expertise highly valued by partners, regularly engaging in detailed discussions of how to improve their offering

Centralized IT & Data Science teams offering Group-wide synergies

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

80+

In-House
Software Engineers

Develop and improve product offerings to our customers

30

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