Senior Data Scientist, Credit

🔥 20 hours ago

🇿🇦 South Africa – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Develop and deploy credit scoring, affordability, and behavioural models for 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 decisioning processes • Mentor product squads on experimentation and data-driven decision-making best practices • Provide models to optimise collections, churn management, and user retention • Build credit risk models and shape pricing, credit limit modelling, and credit model deployment strategy • Translate complex data into actionable decisions supporting growth and healthy portfolio performance

🎯 Requirements

• Degree or qualifications in a quantitative field such as Statistics, Mathematics, Engineering or similar • 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, such as Python or 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

• Pension • Health insurance • Monthly bonuses • Learning and development-focused environment • Knowledge sharing, training, and regular internal technical talks • Culture prioritising employee well-being, respect, inclusion, and having all voices heard