Earnix is a leading provider of mission-critical systems for global insurers and banks.
Through Earnix, customers can provide prices and personalized products that are smarter, faster, safer and in full alignment with corporate business goals and objectives.
Earnix’s solutions offer systemized, enterprise-wide value with ultra-fast ROI.
Earnix has been innovating for Insurers and Banks since 2001 with offices in the Americas, Europe, Asia Pacific
Hila Alper
[email protected]
https://earnix.com/careers/
Our Representatives
About us
From months to days: Earnix enables accelerated rating deployment faster than anyone
Earnix allows financial institutions to offer the perfectly priced financial product in real-time by connecting the rating and pricing processes in a single analytical solution. Say goodbye to slow and disconnected legacy systems and hello to deploying rates to the market that are smarter, faster, and safer.
Analytics - It's what we do best!
Data & Analytics are at the core of Earnix-powered solutions. We employ world-class data science, analytical modeling tools, optimization algorithms, and machine learning capabilities in delivering the best priced and most personalized financial product to every customer, every time.
Proprietary research for smarter rating, pricing & personalization
Our Analytics team is continuously researching and exploring state-of-the-art tools, solutions, methodologies & algorithms to embed the latest science into the Earnix products and solutions.
Our Current areas of focus
* Explainable AI * Online learning * Contextual Multi-Arm Bandits (MAB) * Early “detection/warning” systems
Why join us?
Transform an industry with your expertise. Stand out with what makes you extraordinary. Be the disruptor you were born to be.
We revolutionize the way banks and insurers provide personalized products, services and experiences.
Helping them make real-time mission critical impact. Join us and creat a global impact.
Open positions
- Data Science Innovation Manager
- Data Scientist - all levels