Senior Data Scientist (Credit)
Remote, London · Moniepoint India · 5+ years experience · Remote · Posted Oct 16, 2026
At a glance
- Experience
- 5+ years experience
- Workplace
- Remote
- Location
- Remote, London · Moniepoint India
About the role
- Moniepoint is seeking a Senior Data Scientist to power consumer lending decisions at scale across Nigeria and Africa.
- The role involves building models, experiments, and insights to shape customer acquisition, underwriting, and retention strategies.
- You will sit at the intersection of data science, credit risk, and product to drive growth and portfolio performance.
Responsibilities
- Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections.
- Design and run experiments to optimise approval rates, loss rates, and profitability.
- Partner with product squads to embed decision logic into real-time systems.
- Ensure data quality, compliance, and ethical use of models across all decisioning processes.
- Mentor product squads on best practices in experimentation and data-driven decision-making.
- Provide models to optimise outcomes in collections, churn management and user retention.
Requirements
- Degree or qualifications in a quantitative field such as Statistics, Mathematics, or Engineering.
- 5+ years of experience in data science, decision science, or risk analytics within financial services.
- Working knowledge of credit risk, consumer lending, and regulatory considerations.
- Proficiency in SQL and at least one modelling/programming language (Python, R).
- Experience with A/B testing, machine learning, collections modelling and churn management.
- Ability to translate complex analyses into clear recommendations for business stakeholders.
- High ownership mindset and comfort working in fast-paced, cross-functional teams.
Benefits
- Attractive salary
- Pension
- Health insurance
- Monthly bonuses
Workplace
- Remote role with locations in London and Moniepoint India.
Skills
- SQL
- Python
- R
- Machine Learning
- A/B Testing
- Credit Scoring
- Risk Analytics
- Statistics
- Linear Algebra