Risk Analyst

There are 2 billion adults worldwide who don’t have a bank account. That’s close to 40% of the world’s adult population. 350 million of them live in Sub-Saharan Africa. They are hardworking, young, connected adults that lack access to the traditional banking system. Fido is changing that. We are empowering individuals and entrepreneurs to take advantage of opportunities in Africa.

The latest innovation from Fido called Fido Score will shift power back to the people by empowering them to build and maintain a digital financial track record.

We build consumer products powered by a magical cocktail of real-time mission-critical machine-learning models, behavioral psychology, and financial engineering. We promote meritocracy, act quickly, commit, and worship data.

Ready for your next career move?

Are you sharp, motivated, and purpose-driven? We are looking for you

Join us in our mission to make financial services accessible in Africa.

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• Regularly monitor exposure to various credit risks applicable to our unique financial products/services, business jurisdictions and delivery channels, and provide root-cause, incident analysis and other periodic reports to management on trends and current exposure levels;
• Conduct research across public sources and develop new and innovative applications, models and frameworks for mitigating credit risks in existing/new products.
• Provide business insights share knowledge on existing products with other teams and stakeholders within the organization.
• Review and help in improving credit machine learning models in place, and implement new risk measurement systems.
• Strong collaboration with internal teams across the globe.

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• 3+ years of experience in a similar role for a financial institution (i.e banks, credit insurance firms, regulators, etc) - Prior experience in FinTech is an advantage.
• Hands-on experience in SQL - must
• Experience in Python - Advantage
• Advanced understanding of financial concepts and products - must
• Strong analytical skills and experience analyzing complex data
• Comfortable working with multidisciplinary teams (i.e. data, finance, product)
• BSc in exact sciences fields or B.A in economics, accounting or finance - must
• MSc or MBA in one of the above fields - An advantage

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