Job Description
About the job:
Who are we
Fido empowers millions across Africa to take control of their finances with ease. As a leader in cutting-edge financial technology, Fido clears the way for building credit, securing instant loans, making smart investments, and obtaining tailored insurance. No banker’s hours, no hidden fees—just endless opportunities.
From city centers to rural communities, Fido is breaking barriers and creating financial freedom, providing access to innovative tools and services that foster growth and empowerment. By leveraging advanced technology, Fido is shaping a future of opportunity and financial inclusion across the continent.
Join the team and be a part of leading this transformative change, driving impact where it matters most.
Key Responsibilities
- Monitor and Analyze: Regularly assess credit risk exposure across our unique financial products, services, jurisdictions, and delivery channels.
- Investigate and Report: Identify emerging credit risks impacting business performance; provide root cause analysis and detailed reports to senior management.
- Risk Mitigation: Devise and coordinate effective remediation strategies for identified credit risks.
- Innovate: Research and develop new tools, models, and frameworks to mitigate credit risks in existing and new digital (mobile) financial products.
- Collaborate and Share: Provide valuable insights and knowledge to cross-functional teams, with a strong emphasis on partnering with our tech organization.
- Enhance Models: Work closely with data scientists and analysts to improve existing credit machine learning models and implement new risk measurement systems.
- Global Teamwork: Collaborate effectively with internal teams across the globe.
- This is not a managerial role, although you will lead a domain.
Key Competencies
- Experienced Professional: 5+ years in a similar role within a financial institution (banks, credit insurance firms, regulators, etc.); fintech experience is a plus.
- Technical Skills: Proficient in SQL (must); experience with Python is an advantage.
- Financial Expertise: Advanced understanding of financial concepts and products (must).
- Analytical Mindset: Strong analytical skills with experience in analyzing complex data.
- Team Player: Comfortable working with multidisciplinary teams (data, finance, product).
- Educational Background: Bachelor’s degree in exact sciences, Economics, Accounting, or Finance (must); Master’s degree or MBA is an advantage.
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