Data Science Manager – Credit

🕒 July 15

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 21%

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

• Developing 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

• You’re comfortable with Statistics - and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar) • You have +5 years of experience in data science, decision science, or risk analytics within financial services, including +2 years in managerment • 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

• The opportunity to drive financial inclusion and shape the future of the African financial ecosystem • The chance to work on innovative and impactful projects • A dynamic, diverse, and collaborative environment where every team member’s voice is recognised and valued • Flexible work arrangements • Continuous learning and career growth opportunities • Competitive salary, individual performance bonuses, and firmwide performance bonus • The company covered health insurance plans • Pension plans