About Pezesha
Pezesha (Meaning Financial Empowerment) is a leading Fintech startup that has created a holistic financial marketplace for MSMEs. By offering lending, financial education, and debt counselling to borrowers, plus a proprietary credit scoring system to vet MSMEs without a credit history, derisking lending to SMEs. Lower risks bring commercial banks and capital providers onto Pezesha platform. As a collaborative structure, Pezesha is helping to tackle the $19 billion financing gap for SMEs. Pezesha has been approved by CMA (Capital Markets Authority) as among the first Fintechs to participate under the CMA regulatory sandbox.
Key responsibilities:
- Underwrites, tracks, analyzes, and maintains the company’s portfolio of loans issued.
- Development and implementation of financial and credit risk models
- Understand, manage and mitigate key elements of the company’s PAR, NPLs and any other related risks on an ongoing basis
- Identifying the key financial and non-financial risks, recommending actions for mitigation of credit and enterprise risks
- Manage a world class in-house credit cycle from evaluation, administration and collections to ensure efficiency, security, AML checks, and fraud control throughout the entire cycle including underwriting process
- Effective communication to investors/lenders on their portfolio performance on a daily/weekly and monthly basis
- Work closely with collections and acqusition teams to provide data driven approaches to improving the credit operations and repayments from borrowers.
- Ensure compliance of company processes in line with set policies and standards locally and globally.
Desired Qualifications:
- Excellent excel and pivot tables skills for at least 2 years
- MUST HAVE: Degree in Mathematics or Statistics and/or Actuarial Science
- Excellent communication and analytical skills
- At least 2 years experience in risk management and financial analysis in the financial space
- Problem solving ability
- Works with minimal supervision
- ADDED ADVANTAGE: data analytics skills, financial modelling, R, SPSS
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