Data Analyst handling data governance and quality at Suno, focusing on financial education. Implementing data routines and monitoring data health for better decision - making.
About the role
- Senior Analytics Manager applying customer behaviour analytics to solve credit risk at M-KOPA. Building predictive models and collaborating with cross-functional teams to drive financial inclusion in Africa.
Responsibilities
- Build credit scoring models using alternative data - mobile money patterns, transactional behaviour, payment consistency signals
- Develop risk segmentation and customer profiling frameworks
- Monitor portfolio performance and identify early warning signals
- Translate customer behaviour patterns into credit risk indicators
- Design A/B tests to evaluate credit policy changes (loan amounts, terms, pricing, approval thresholds)
- Analyse experiment results to optimise approval rates, default rates, and profitability
- Run cohort analyses and measure incrementality of interventions
- Present findings to executives and credit committees
- Develop strategic recommendations based on data analysis
- Collaborate cross-functionally with Product, Risk, Operations, Finance
- Build business cases for credit policy changes
- Build automated dashboards and reporting
- Develop data pipelines for credit decisioning
- Ensure model performance monitoring and validation
Requirements
- Bachelor's degree in Statistics, Actuarial Science, Economics, Mathematics, Econometrics, or another quantitative field
- Experience analysing customer/user behaviour patterns using data (4+ years)
- Built predictive models for business decisions (churn, retention, conversion, segmentation)
- Understanding of customer lifecycle, behavioural triggers, and pattern recognition
- Built classification/regression models that influenced business decisions (3+ years hands-on)
- Experience with model evaluation, feature engineering, and deployment
- Python OR R for data analysis and modeling (pandas, scikit-learn, statsmodels, tidyverse, caret)
- SQL for data extraction and analysis (joins, CTEs, window functions)
- Designed or analysed A/B tests, randomised experiments, or causal inference studies
Benefits
- Professional development programs and coaching partnerships
- Family-friendly policies and flexible working arrangements
- Well-being support and career growth opportunities
- Hybrid working in Ghana with diverse teams across UK, Europe, and Africa
Job title
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