DATA ANALYST NOBEL LENDING
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Job summary
responsible for collecting, cleaning, and interpreting financial and customer data to evaluate creditworthiness, minimize risk, and drive lending efficiency. This role translates raw transaction data into actionable insights for underwriting models, product development, and customer acquisition, ensuring data accuracy and compliance with regulatory
Min Qualification:
Diploma
Experience Level:
Senior level
Experience Length:
2 years
Language Requirement:
English
Working Hours:
Full Time - 9 to 5
Applicant Location:
Nairobi, Kenya
Job descriptions & requirements
Responsibilities
- Risk & Credit Analysis: Develop, test, and maintain credit scoring models to evaluate applicant creditworthiness and predict loan default risks.
- Data Mining & Reporting: Extract data from various banking systems using SQL to generate dashboards and reports on loan portfolio performance, revenue collections, and cash flow.
- Process Optimization: Analyze customer behavior and transaction patterns to optimize the lending lifecycle—from application to recovery—thereby reducing turnaround time and operational costs.
- Fraud Detection: Use analytical techniques to detect anomalous activity or potential fraud in real-time lending transactions.
- Compliance Monitoring: Ensure all lending activities comply with relevant financial regulations through data validation
- Technical Proficiencies: High proficiency in SQL (mandatory) and statistical languages like Python or R for data manipulation.
- Visualization Tools: Experience building dashboards using Tableau, Power BI, or similar BI tools.
- Domain Knowledge: Understanding of financial services, lending procedures, credit bureau reports, and debt recovery processes.
- Analytical Mindset: Strong statistical and mathematical skills to analyze trends and create predictive financial models
- Submit your documents in PDF format indicating data analyst nobel lending to hr@earlyhrconsultants.com In the subject line
- SALARY EXPECTATION 50,000KSH
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