Mission
Leverage data to address the fundamental challenges of lending to micro, small and medium enterprises (MSMEs) in informal economies.
ABOUT RUBYX
A desire to make a difference
We want to make a difference for entrepreneurs and small businesses in the developing world – a big difference. Rubyx was founded the day we decided that in order to make that difference, we couldn’t just continue with business as usual. We had to start a whole new company, with a whole new approach.
With the accelerated digital transformation and rise of digital platforms, the promise of embedded lending and API-led product growth, today we want to reach as many entrepreneurs as possible by facilitating partnerships between digital platforms and financial institutions. Together, we’re going to make a big difference.
Meet our team
A dynamic group of people with expertise in microfinance, data science, behavioural economics and human-centred design
Abdoulaye Barro
Data Engineer
Afi Edoh
Data Analyst
Aristide Sabi
Product Owner
Astrid van der Flier
Director of User Experience
Awa Marie Gaye
Business Development Manager
Bara Ndiaye
Senior Data Engineer
Baye Ndao
Data Engineer
Boubacar Ba
Customer Success Manager
Damien Jacques
Chief Data Scientist
Daniel Dieme
Data Engineering Manager
Denis Moniotte
CEO
Giorgio Rivero
Chief Data Officer
Hyunoo Chang
Data Scientist
Leroy Abiguime
DevOps Engineer
Simeon Thiakane
Financial Manager
Sitao Zhang
Chief Technology Officer
Thomas Carrié
Chief Customer Officer
Tianchao Lei
Full Stack Developer
Our values
01
Dare to be different
We challenge the status quo. We’re passionate game-changers and pioneers, shifting the way others think and do things.
02
No one has all the answers
We embrace a culture of humility and continuous learning. We’re empathetic listeners to the ambitions and aspirations of our partners and stakeholders.
03
Fair opportunity for all
We treat everyone with the common decency we all deserve. Our credit scoring engine detects bias and we rebalance our datasets for the most inclusive algorithms.