2 Nov 2024

Consultant – Credit Scoring at Pezesha

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Job Description

Pezesha, 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 is led by a highly experienced and passionate local team with more than 10 years local and international experience in fin-tech, management of growth and technology companies, and unparalleled local market knowledge and reach.

Consultant – Credit Scoring

  • We are looking for a seasoned consultant specializing in credit scoring models. The Consultant will work closely with our team to evaluate the effectiveness of our current credit scoring models, identify areas for improvement, and implement enhancements to optimize our risk assessment processes.

Key Responsibilities;

  • Conduct a comprehensive review and analysis of our existing credit scoring models to assess their accuracy, reliability, and performance.
  • Collaborate with internal stakeholders and external contractors to gather insights and feedback on the usability and effectiveness of the current models.
  • Identify gaps and limitations in the existing models and propose iterative improvements to enhance predictive power and risk assessment capabilities.
  • Develop and implement strategies for model validation, testing, and calibration to ensure compliance with regulatory requirements and industry standards.
  • Provide training sessions and workshops to educate team members on best practices in credit scoring model development and evaluation.
  • Offer advisory services to senior management on strategic decisions related to credit risk management and model governance.
  • Act as a consultant to address any challenges or issues related to credit scoring models and provide actionable recommendations for improvement.

Qualifications;

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Finance, or a related field.
  • At least 7 years Extensive experience in reviewing and iterating credit scoring models within the financial services industry.
  • Strong proficiency in statistical modeling techniques, machine learning algorithms, and data analysis tools.
  • Knowledge of regulatory requirements and industry standards governing credit risk management and model validation.
  • Excellent communication and presentation skills with the ability to convey complex technical concepts to non-technical stakeholders.
  • Prior experience in providing consultancy and advisory services in credit risk management and model development.
  • Ability to collaborate effectively with cross-functional teams and external partners to achieve project objectives.
  • Experience in Python or relevant programming languages.
  • Some experience working with credit scoring algorithms in a cloud context.


Method of Application

Submit your CV, copies of relevant documents and Application to:

[email protected].

Use the title of the position as the subject of the email

Closing Date : 2 December. 2024





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