Senior Data Scientist — Credit Risk & Lending

Moniepoint Group; Barcelona; Presencial; EUR 104.000 - 156.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary

Pension

Health insurance

Monthly bonuses

Descripción de la vacante

Moniepoint Inc. is seeking a data-driven Senior Data Scientist to power its consumer lending decisions at scale. You will build scoring, pricing, and risk models, and shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa.

You will collaborate with the Consumer Credit team to drive model deployment strategies, risk ranking, and data infrastructure for personalized offers while exploring ML vs traditional methods to inspire the team and customers.

Formación

• Degree in statistics, mathematics, engineering or a related quantitative field.
• 5+ years of experience in data science, decision science, or risk analytics in financial services.
• Proficient in SQL and at least one modelling language (Python or R).

Responsabilidades

• 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.

Conocimientos

SQL

Python

R

Statistics

Data modeling

Educación

Degree in Statistics / Mathematics / Engineering

Descripción del empleo

Moniepoint Inc. is seeking a data-driven Senior Data Scientist to power its consumer lending decisions at scale. You will build scoring, pricing, and risk models, and shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa.

You will collaborate with the Consumer Credit team to drive model deployment strategies, risk ranking, and data infrastructure for personalized offers while exploring ML vs traditional methods to inspire the team and customers.