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Entry and Basic-level Finance & FinTech Jobs in Africa
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jobs
Renmoney
Decision Scientist
Lagos, Nigeria
The Concept Group
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Abia, Nigeria
ChapChap
Reconciliation Intern – Accountant
Kampala, Uganda
PalmPay
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Lagos, Nigeria
PalmPay
Offline POS Operations Specialist
Lagos, Nigeria
Moniepoint Incorporated
Treasury Administrator (Remote)
Lagos, Nigeria
Moniepoint Incorporated
Business Relationship Manager
Lagos, Nigeria
Kanzu Code
HR & Admin Intern
Kampala, Uganda
N1 Partners
Only on FuzuCLOSEDCall Center Specialist
Nairobi, Kenya
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M-KOPA
CLOSEDStock Controller
Kampala, Uganda
Closing: May 8, 2024
15 days remainingPublished: Apr 23, 2024 (1 day ago)
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Job Summary
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Requirements
- Bachelor's / Master's Degree in a technical or quantitative field such as Statistics, Mathematics, Econometrics, Economics, Computer Science.
- Minimum of 2 years’ experience as a Decision Scientist.
- Proficiency in Python.
- Experience with databases (SQL, MySQL, etc.) and advanced MS Excel.
- Proven track record using predictive analytics to impact business outcomes.
- Background in credit risk modeling: scorecards, vintage analysis, decision trees, roll rate analysis.
- Familiarity with analytical software, like Power BI, is a plus.
- Experience with ML Ops on AWS or other cloud-based platforms is an advantage.
Responsibilities
Requirements
- Bachelor's / Master's Degree in a technical or quantitative field such as Statistics, Mathematics, Econometrics, Economics, Computer Science.
- Minimum of 2 years’ experience as a Decision Scientist.
- Proficiency in Python.
- Experience with databases (SQL, MySQL, etc.) and advanced MS Excel.
- Proven track record using predictive analytics to impact business outcomes.
- Background in credit risk modeling: scorecards, vintage analysis, decision trees, roll rate analysis.
- Familiarity with analytical software, like Power BI, is a plus.
- Experience with ML Ops on AWS or other cloud-based platforms is an advantage.
Job Description
- Develop credit and fraud scoring models along with other predictive models.
- Engage in ongoing optimization and automation of business processes.
- Craft KPI to gauge the effectiveness of risk strategies and business processes.
- Oversee project planning, execution, and progress tracking.
- Prepare requirements, liaise with stakeholders, manage timelines & expectations.
- Participate in/manage the full model lifecycle: deployment, monitoring, retraining, and updating.
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