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Senior Risk Analyst (Portfolio Risk)

Renmoney
Lagos, Nigeria Posted Jul 27, 2026
On-site

About this role

Senior Risk Analyst (Portfolio Risk)

The Role

  • The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability.
  • The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization.
  • This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment.

What You Will Do

  • Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities.
  • Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting.
  • Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects.
  • Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making.
  • Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements.
  • Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product.
  • Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios.
  • Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics.
  • Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation.
  • Build automated reporting solutions and improve data infrastructure to reduce manual processes.
  • Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance.
  • Perform portfolio stress testing, sensitivity analysis, and scenario modeling.
  • Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk.
  • Recommend risk policy enhancements based on portfolio performance and analytical findings.
  • Maintain documentation for portfolio methodologies, reporting processes, and analytical models.
  • Drive continuous improvement initiatives across portfolio analytics and reporting capabilities.

Requirements

  • Educational Qualification
  • Bachelor's Degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline.
  • Master's Degree is an added advantage.

Professional Certifications:

  • FRM (Financial Risk Manager) – preferred.
  • CFA ( Chartered Financial Analyst) – an advantage.
  • ACCA, ACA, or equivalent accounting qualification is beneficial.
  • IFRS 9 or Credit Risk certifications are an added advantage.
  • Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable.

Experience

  • Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk.
  • Experience within banking, fintech, consumer lending, digital lending, or financial services.
  • Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring.
  • Experience building automated reporting and portfolio dashboards.
  • Experience supporting senior management with portfolio performance insights and strategic recommendations.

Professional Competencies:

  • Strong knowledge of portfolio risk management principles and retail lending products.
  • Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning.
  • Strong analytical skills with experience interpreting large datasets and translating insights into business

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