Ezra
FinTech
PredictiveAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Predictive Analyst at Ezra. Skills: Data science, Data engineering, ML/AI, Business intelligence. Determine subscriber eligibility. Generate relevant offers”
Industry & Context.
What They're Looking For.
Must Have
5+ years experience, Detail-Oriented, Adaptable
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Determine subscriber eligibility
Generate relevant offers
Process loan requests
Develop new product opportunities
Full Job Description
Predictive Analyst Location: Dubai, United Arab Emirates or Nairobi, Kenya Reports to: Director of Prediction able to self-critique and accept constructive feedback. Detail-Oriented: High attention to detail with a commitment to process, procedure, and documentation as pillars of excellence. Adaptable: Comfortable stepping outside of their comfort zone to learn new tasks and technologies. Company overview: Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE. Our flagship products are Airtime Credit Services (ACS), Nano and BNPL. ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit. Nano is a micro cash advance offered to mobile wallet users on demand. BNPL facilitates payment installments for products and services As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing. Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure. But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.
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