Job Summary

The Financial Analyst will sit at the heart of Chancen International’s FP&A function, supporting the integrity, accuracy, and strategic value of our financial models, reports, and planning processes. Reporting directly to the Head of Financial Planning & Analysis, this role is designed for a detail-oriented, analytically strong professional who can independently build and own financial models, drive reporting quality, and contribute meaningfully to portfolio and fund-level decision-making.

The Financial Analyst will work closely with the Tech, Operations, Credit, and Programme teams to ensure financial data flows are accurate, models are robust, and reporting outputs are actionable for EXCO, Board, and investor audiences. The successful candidate is expected to independently own and deliver financial models at both the Fund Manager and Group level within their first year — a core deliverable that directly supports investor reporting and capital deployment decisions.

Key Responsibilities

Financial Modelling

• Build, maintain, and refine financial models covering ISA portfolio performance, fund-level economics, and Group-level consolidations
• Develop and own scenario-based models assessing the impact of key variables, deployment timing, repayment rates, FX movements, and salary growth — on portfolio and company financial performance
• Support financial feasibility assessments for new Business Development initiatives, including IRR, NPV, and FX sensitivity analysis
• Contribute to impairment calculations and ECL estimation processes across all operating markets

Financial Planning & Analysis

• Track budget vs. actuals across departments and countries — providing structured variance analysis with clear commentary
• Support financial planning, forecasting, and annual budgeting cycles — including multi-scenario planning
• Assist in preparing financial inputs for EXCO, Board, and investor reporting cycles
• Contribute to the 2027 Strategic Annual Plan with scenario overviews covering deployment timing, tranche mix, and FX impact

Reporting & Data Management

• Build and maintain integrated financial reports using internal datasets, ensuring complete, timely, and actionable outputs for key stakeholders
• Review existing reports and enhance structure, clarity, and utility for decision-making
• Collaborate cross-functionally with Operations, Credit, and Programme teams to integrate data inputs for unified reporting
• Utilize the Data Warehouse as the primary data source for all financial reporting — ensuring alignment, consistency, and data accuracy

Process Improvement & Documentation

• Assist in automating repetitive financial tasks and improving data flow between systems
• Document key FP&A processes such as ISA calculations, impairment methodology, and reporting workflows
• Identify and implement opportunities to improve reporting quality, internal controls, and process efficiency
• Contribute to the team’s SOP and Runbook library across core FP&A functions

Requirements

Educational Qualifications

• Minimum Bachelor’s Degree in Finance, Economics, Business Analytics, Accounting, or a related field
• Professional certification (CFA, ACCA, CPA, or equivalent) is an advantage

Technical Skills, Competencies & Experience

• 3–6 years of experience in a financial analysis, FP&A, investment analysis, or financial modelling role
• Demonstrated ability to independently build complex financial models, including 3-statement models (P&L, Balance Sheet, Cash Flow) from scratch; this is non-negotiable
• Advanced proficiency in Microsoft Excel or Google Sheets — non-negotiable
• Familiarity with Power BI, Looker, or Python is an advantage
• Strong understanding of financial reporting frameworks, modelling principles, and portfolio analytics
• Exposure to microfinance, development finance, or impact investing is a plus — but not required
• Experience working across African markets is preferred
• Strong written and verbal communication skills — able to present financial outputs clearly to non-finance stakeholders
• Detail-oriented, structured thinker with a strong interest in process improvement and data integrity
• Curious, proactive, and self-driven — comfortable operating in a fast-moving, lean team environment