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Credit Risk Analyst
Moniepoint
Posted 2 months agoLagos, Nigeria
Location
Lagos, Nigeria
Job Type
Full-time
Experience
Mid-Level
Category
Other
Job Description
Who we are
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019. As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
About the roleThe Risk Management Analyst is responsible for analyzing credit and portfolio data, monitoring risk exposures, and supporting data-driven lending decisions across Moniepoint’s ecosystem. The role combines credit risk expertise and data analytics to ensure portfolio quality, regulatory compliance, and sustainable growth.Key Responsibilities
Portfolio Risk Monitoring
Track and analyze portfolio performance metrics (PAR, NPL, roll rates, recoveries)
Monitor delinquency trends (PAR 0, 30, 60, 90, 360)
Identify early warning signals (EWS) and emerging risk patterns
Data Analysis & Reporting
Extract, clean, and analyse large datasets from internal and external systems
Develop risk dashboards and automated reports
Provide daily, weekly, and monthly portfolio insights
Credit Decision Support
Support underwriting with:
Cash flow and behavioral analysis
Customer risk profiling
Provide data-backed recommendations on loan approvals, limits, and pricing
Risk Modeling & Analytics
Support development of:
Credit scoring models
Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD)
Conduct stress testing and scenario analysis
Portfolio Strategy & Optimization
Segment portfolio by industry, geography, and customer type
Recommend risk-based strategies to optimize growth and minimize losses
Support collection and recovery strategies using data insights
Create model for monitoring e.g. Vintage, Credit Risk Appetite, Atypical
credit model, Exceptions model, IS-WAS Model, Transaction Matrix etc
Regulatory & Compliance Support
Support reporting to regulators such as the Central Bank of Nigeria and credit bureau
Assist with IFRS 9 Expected Credit Loss (ECL) calculations
Ensure alignment with internal policies and risk frameworks
Systems & Process Improvement
Improve data pipelines, reporting efficiency, and risk monitoring tools
Collaborate with product, engineering, and credit teams
Support automation of risk processes
Key Deliverables
Required Tools & TechnologiesData & Analytics
Portfolio risk reports (PAR, NPL, vintage analysis)
Risk dashboards and performance trackers
Early warning reports
Stress testing and scenario outputs
Credit decision insights and recommendations
Microsoft Excel (Advanced)
SQL
Python (Pandas, NumPy)
Visualization & Reporting
Power BI
Tableau
Database & Systems
MySQL / PostgreSQL
Core banking/loan systems (e.g., Temenos, Finacle)
Risk & Statistical Tools
SAS / R (optional)
ProGigFinder Press
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Requirements
- Key Skills & Competencies:
- Strong data analysis and statistical skills
- SQL and data querying proficiency
- Dashboard and reporting development
- Understanding of risk modeling techniques
- Risk Knowledge:
- Credit risk lifecycle and lending processes
- Risk metrics (PAR, NPL, PD, LGD, EAD)
- Knowledge of IFRS 9
- Soft Skills:
- Strong analytical thinking
- Attention to detail
- Communication and storytelling with data
- Stakeholder management
- Experience & Qualifications:
- Bachelor’s degree in finance, Economics, Statistics, Mathematics, or related field
- 4 – 5+ years’ experience in credit risk, data analytics, or fintech risk roles
- Experience in financial services or fintech is an advantage
- Key Performance Indicators (KPIs):
- Accuracy and timeliness of reports
- Portfolio quality improvement (PAR/NPL reduction)
- Effectiveness of risk insights in decision-making
- Efficiency gains through automation
- What to expect in the hiring process:
- A preliminary phone call with one of our recruiters.
- A panel interview with the member of the team
- An executive interview with the hiring manager