Analyst, Finance and Data

Department: Capital Solutions

Reports To: Manager, Capital Solutions

About Kifiya:

Kifiya is an AI-powered financial and market infrastructure company advancing inclusive economic growth across Africa. We design and deploy risk decisioning systems, intelligent financial infrastructure, and market linkage platforms that unlock credit, insurance, payments, and capital access for MSMEs and smallholder farmers. We build the AI, data, and financial infrastructure that helps financial institutions serve hard-to-finance segments at scale.

Business Unit Description

Capital Solutions is Kifiya’s capital design and capital technology infrastructure practice. The unit structures, mobilizes, and administers blended finance facilities, liquidity platforms, guarantee mechanisms, securitization vehicles, and Islamic finance instruments that expand access to affordable capital for MSMEs and smallholder farmers.

By integrating AI driven portfolio analytics, disciplined fund governance, and digital capital infrastructure, Capital Solutions transforms fintech originated assets into investable, scalable funding vehicles. The practice bridges development finance and institutional capital, enabling catalytic capital to crowd in commercial funding and build sustainable, market-based financing ecosystems.

Position Summary

The Analyst, Finance and Data is responsible for delivering advanced financial analytics, portfolio monitoring, liquidity forecasting, and performance intelligence across Kifiya’s liquidity facilities, guarantee programs, and securities structures.

This role converts raw portfolio data into actionable financial insight through dashboards, predictive analytics, scenario modeling, and structured reporting. The Analyst plays a critical role in ensuring capital is deployed efficiently, risks are detected early, utilization thresholds are monitored accurately, and investor reporting meets institutional standards.

The role combines financial analysis, structured data processing, portfolio risk understanding, and strong data visualization capability.

Portfolio Analytics and Performance Monitoring

• Monitor MSME and agricultural loan portfolios underlying liquidity and guarantee facilities.
• Track portfolio at risk, nonperforming loan trends, sector concentration, and vintage performance.
• Analyze utilization rates and capital recycling velocity.
• Assess leverage ratios and capital multiplier performance across facilities.
• Identify emerging risk patterns and provide early warning insights. Updated: Feb 2026 Liquidity Forecasting and Capital Efficiency Analysis
• Develop liquidity utilization forecasts based on historical deployment patterns and pipeline projections.
• Conduct scenario analysis under varying growth, default, and recovery assumptions.
• Support tranche release decision making with quantitative evidence.
• Analyze cost of capital and return metrics across structured vehicles.
• Model impact of guarantee coverage adjustments on capital adequacy and portfolio risk.

Financial Modeling and Scenario Analysis

• Build and maintain financial models for liquidity facilities, guarantee structures, and securities programs.
• Conduct stress testing and sensitivity analysis on key risk drivers.
• Support structuring teams with pool level analytics and performance assumptions.
• Translate model outputs into clear, defensible recommendations. Data Extraction, Transformation and Validation
• Extract, clean, and transform portfolio data from partner bank systems and APLIQ platform.
• Use SQL or equivalent tools to query, validate, and aggregate large datasets.
• Ensure data consistency across analytics, platform, and reporting outputs.
• Maintain structured data documentation and version control practices.

Dashboard Development and Reporting

• Design and maintain interactive dashboards using approved BI tools.
• Ensure dashboards reflect accurate KPIs including utilization rates, guarantee exposure, liquidity velocity, portfolio risk metrics, and capital efficiency indicators.
• Generate monthly, quarterly, and annual reports for management, investors, and funders.
• Translate complex datasets into clear visual narratives suitable for executive audiences.

Investor Grade Reporting Support

• Support preparation of investor and DFI reporting packages.
• Reconcile reported metrics against financial and operational data sources.
• Ensure consistency between financial models, dashboards, and narrative reports.
• Maintain institutional grade documentation standards for analytics outputs. Continuous Improvement and Automation
• Identify opportunities to automate recurring analytics and reconciliation processes.
• Support integration of AI driven predictive models into reporting frameworks.
• Improve data workflows to reduce manual intervention and reporting delays.
• Contribute to strengthening data governance and analytics standards within Capital Solutions. Updated: Feb 2026

Key Outputs

• Accuracy and timeliness of analytics outputs.

. Quality and usability of dashboards for decision making.
• Forecast accuracy for liquidity utilization and portfolio performance.
• Reduction in reporting variances and reconciliation gaps.
• Early identification of risk signals and mitigation recommendations.
• Efficiency gains through automation and improved data processes.

Qualifications and Experience

• Bachelor’s degree in finance, Economics, Statistics, Data Science, Accounting, or related field.
• 3 to 6 years of experience in financial analysis, credit portfolio analytics, risk management, or structured finance analytics.
• Strong proficiency in Excel and financial modeling.
• Hands on experience with BI tools such as Power BI or Tableau.
• Demonstrated ability to use SQL or similar tools for data extraction and transformation.
• Strong understanding of loan portfolio dynamics and financial performance metrics.

Core Competencies

• Strong analytical rigor and financial acumen.
• Ability to translate data into strategic insights.
• High attention to detail and accuracy.
• Structured problem-solving mindset.
• Clear communication and data storytelling capability.
• Ability to manage multiple analytical workstreams under deadlines.
• Collaborative and responsive in cross functional teams.