Credit Risk Analyst

About Umba
Our mission entails providing accessible and cost-effective financial services across Kenya, enabling our customers to take charge of their financial well-being. We are committed to seizing a unique opportunity to transform the financial landscape in Kenya by harnessing the power of machine learning to develop intelligent, affordable financial products tailored for emerging markets. Our machine learning models are continuously improving, and we leverage AI and automation to deliver banking solutions at the lowest possible cost to our expanding customer base.
We have acquired a deposit taking Microfinance bank to allow us to offer full digital banking services in Kenya. Our primary focus is to offer a comprehensive range of digital banking products through Android and iOS Apps, and we take pride in our culture of consistently surpassing customer expectations, which has fueled our rapid expansion.
We are actively seeking outstanding individuals who not only possess exceptional talent but also share our vision, determination, and sense of purpose. Join us in our endeavor to establish the largest neo-bank in Africa.

Job Summary
The Credit Risk Analyst is responsible for managing the end-to-end process of client onboarding and loan application processing. This role ensures the accuracy of client information, evaluates creditworthiness, and adheres to compliance and risk management standards.

Key Responsibilities
1 Client Onboarding:

• Receive and welcome new clients.
• Collect and maintain accurate client information and documentation.

2. Verification of Personal and Business Information:

• Verify the accuracy and completeness of client-provided personal and business details.
• Ensure compliance with legal and regulatory requirements.

3. Credit Analysis:

• Analyze financial data to assess clients' creditworthiness.
• Pull and review credit reports to evaluate credit risk.

4. NTSA Searches and In-Charges:

• Conduct NTSA searches and review in-charges for due diligence.

5. Loan Application Assessment:

• Evaluate loan applications and provide recommendations (approval, decline, or adjustment).

6. Valuation Process:

• Issue valuation instructions for collateral appraisal (e.g., vehicles).
• Receive and analyze valuation reports to determine loan amounts based on collateral value.

7. Document Management:

• Safeguard and record original logbooks from branches.
• Assist in the collection and processing of joint logbooks from NTSA.

8. Loan Document Handling:

• Receive, verify, and securely file loan documents.
• Process collateral release requests upon verification.

9. Insurance Verification:

• Verify insurance coverage for clients and their collateral.
• Process documentation for insurance accident claims when necessary.

10. Data Analysis & Interpretation:

• Assess financial data, customer profiles, and transaction histories to determine creditworthiness.
• Skills: SQL, Excel, Power BI, Pandas, NumPy.

11. Risk Modeling & Credit Scoring:

• Develop statistical models to predict loan defaults and assess risk exposure.
• Skills: Logistic Regression, Decision Trees, Credit Scoring Models, Machine Learning (Scikit-learn, XGBoost).

12. Automation & Process Optimization:

• Automate credit risk assessments, document verification, and loan approval workflows.
• Skills: Python, R, API Integration, Robotic Process Automation (RPA).

13. Predictive Analytics & Portfolio Management:

• Forecast trends in loan repayments, delinquency, and borrower behavior.
• Skills: Time Series Analysis (ARIMA, LSTMs), Predictive Modeling, Tableau, Power BI.

14. Fraud Detection & Anomaly Detection:

• Identify fraudulent applications and transactions using machine learning techniques.
• Skills: Anomaly Detection (Isolation Forest, Autoencoders), Network Analysis, Feature Engineering.

15. Regulatory Compliance & Reporting:

• Ensure adherence to financial regulations by generating accurate reports.
• Skills: Data Governance, GDPR Compliance, Automated Reporting (Python, Power BI), Data Auditing Techniques.

16. Sentiment Analysis & Alternative Credit Scoring:

• Leverage non-traditional data sources (e.g., social media, mobile transactions) for credit assessment.
• Skills: NLP (Natural Language Processing), Web Scraping, Behavioral Analytics.

Qualifications & Experience:

• Bachelor's degree in Finance, Economics, Data Science, or a related field.
• Prior experience in credit analysis, risk assessment, or financial modeling.
• Strong analytical skills with a keen eye for detail.
• Proficiency in data analysis and visualization tools.
• Knowledge of lending regulations and compliance standards.

Key Competencies:

• Strong problem-solving abilities.
• Excellent communication and interpersonal skills.
• High level of integrity and ethical conduct.
• Ability to work under pressure and meet deadlines.