Data Science Manager – Credit

Moniepoint Inc. (Formerly TeamApt Inc.)

Data Science Manager at Moniepoint building credit data science capabilities in financial services. Leading a team and collaborating with cross-functional groups to drive innovative projects.

Posted 7/15/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing credit scoring and behavioural models, with a strong foundation in statistics and data science. Proficient in SQL and programming languages like Python or R, with a focus on optimizing decision-making processes in financial services.

Highest-signal resume keywords

Credit Risk AnalysisData Science ExpertiseSQL ProficiencyA/B Testing ExperienceMachine Learning Application

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisModellingData-Driven Decision MakingCollections ModellingChurn Management

Soft Skills

MentoringClear CommunicationOwnership MindsetCollaboration

Certifications & Qualifications

Degree in StatisticsDegree in MathematicsDegree in Engineering

Industry Keywords

Financial ServicesConsumer LendingRegulatory ComplianceRisk AnalyticsDecision Science

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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