Fraud Detection Data Scientist, Production ML

Moniepoint; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Culture

Learning & development

Competitive compensation

Descripción de la vacante

Moniepoint is seeking a Data Scientist to combat fraud and financial crime by building models, running experiments, and deploying detection systems across our platform. You will prototype and ship ML solutions, design experiments, and uncover new fraud signals in collaboration with engineers, product managers, and analysts.

The role emphasizes data-driven decision making, production-grade ML, and the ability to translate insights into real-world mitigations within a fast-paced fintech

Formación

• Strong foundation in statistics with a quantitative degree.
• 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
• Hands-on experience building and deploying machine learning models in a production environment (fraud, risk, or financial services).
• Proficiency in Python and SQL; ability to work across the full model development lifecycle.
• Investigative mindset with ability to derive actionable insights from data.
• Excellent communication of technical findings to non-technical stakeholders.

Responsabilidades

• Prototype, evaluate, and productionize ML models for fraud detection; own monitoring and retraining cycles.
• Design and run experiments to measure the impact of fraud interventions.
• Size fraud typologies across product lines to inform prioritisation and investment.
• Build and maintain anomaly detection systems to surface novel fraud vectors.
• Collaborate with fraud operations, engineers, product managers, and data analysts to translate model outputs into mitigations.

Conocimientos

Python

SQL

Statistics

Machine learning

Fraud detection

Educación

Quantitative degree (Statistics, Mathematics, Engineering, CS)

Herramientas

Production ML

Descripción del empleo

Moniepoint is seeking a Data Scientist to combat fraud and financial crime by building models, running experiments, and deploying detection systems across our platform. You will prototype and ship ML solutions, design experiments, and uncover new fraud signals in collaboration with engineers, product managers, and analysts.

The role emphasizes data-driven decision making, production-grade ML, and the ability to translate insights into real-world mitigations within a fast-paced fintech