Senior Manager Credit - Strategy & Analytics (Kenya) at M-KOPA Solar

What's exciting about this role?

Credit Management :

• Evaluates whether Business proposals meet sound business criteria and credit risk falls within acceptable parameters, approve, and recommends appropriate credit facilities including terms or conditions of facilities.  
• Identify, quantify, and evaluate credit risks in relation to profitability of business proposals and financial viability of Business banking credits. 
• Provide quality analysis (typically provided via SQL, R, Python, Excel, and BI visualization tools) to inform management on the credit performance of the portfolio, products, and customers. This includes regular portfolio and product-level reporting as well as managing ad-hoc investigations and causal diagnoses. 
• Design and implement initiatives and experiments geared towards improving and maintaining healthy credit performance across M-KOPA’s customer base. This includes working extensively with other departments. 
• Keep abreast of industry specific knowledge and key development – stay attuned to industry and market risk development and trends in relation to customers and impact on underlying portfolios. 
• Consolidate, analyze, and maintain economic/market data to be used in portfolio analysis, portfolio stress testing, and other departmental objectives as assigned. 

Systems Review & Reporting :

• Contribute to the development of credit and financial models to be used by the business, including but not limited to IRSR 9 provisioning and bad debt modeling, cash flow modeling, and predictive loss rate models. 
• Monitor and report on key performance metrics on M-KOPA’s core products and pilots, including standard and non-standard forms of portfolio health and delinquency reporting, repayment rates, roll rates, etc. 
• Challenge the existing Credit management system, procedures and practices and implement improvements in all areas of Credit management. 
• Lead the development of reports to key stakeholders including senior management, country leadership teams, and investors, utilizing graphical analysis, PowerPoint presentations, and verbal and written communications. 
• Continue to innovate by testing new data, analytics approaches and models. 
• Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver. 

Team Management & Stakeholder Management 

• Builds relationship with key stakeholders to improve quality of business proposals and turnaround time on pricing and or product launch.  
• Routinely communicate technical subject matter clearly to other team members and relevant stakeholders 
• Work in partnership with cross-functional teams, fostering a supportive and collaborative atmosphere. Encourage diverse viewpoints and a culture of creativity and problem-solving within the team 

Expertise

• Our expectations are that your CV reflects a rich blend of technical expertise, practical experience and leadership competencies positioning you as a valuable asset in the field of Credit.
• Work experience in an analytical field such as consumer credit, asset finance, pricing, data science, behavioral research, or strategy consulting, including experience managing teams, portfolios, and projects
• Proficiency in structuring analytical projects and familiarity with tools including SQL, R!, Python, PowerBI, Excel, PowerPoint, Word, as well as a clear understanding of statistics and quantitative methods and best practices  
• Credit, data, and financial analysis skills to effectively evaluate and report on key performance metrics 
• Knowledge of lending business practices and consumer credit in emerging markets strongly preferred.
• Strong interpersonal and presentation skills to effectively communicate with colleagues and senior stakeholders 
• Understanding of business concepts including ROI analysis, discounted cash flow, causality, & statistical significance 
• Bachelors or Master’s degree preferably in a quantitative field, including economics, econometrics, data analytics, computer science, statistics, engineering, credit management, finance or behavioral psychology