Fraud Detection Data Scientist – Production ML & Risk

Moniepoint Inc.; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Pension

Health insurance

Annual bonus

Other benefits

Job summary

Moniepoint Inc. seeks a Data Scientist to strengthen our fraud-detection capabilities. You will prototype and deploy ML models, run experiments, and build anomaly detection systems to protect millions of customers and merchants across our platform.

We value a statistics-focused background with 3+ years in fraud or financial crime, and strong Python/SQL skills. This role collaborates with engineers, product managers, and analysts in a fast-paced, cross-functional environment.

Qualifications

• 3+ 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 production.
• Fraud, risk, or financial services experience is a strong plus.
• Proficiency in Python and SQL; comfort working across the full model development lifecycle.

Responsibilities

• Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.
• Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction.
• Size fraud typologies across our product lines to inform prioritization and investment decisions.
• Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.
• Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.

Skills

Python

SQL

Statistics

Machine learning

Experimentation

Education

Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, or similar

Job description

Moniepoint Inc. seeks a Data Scientist to strengthen our fraud-detection capabilities. You will prototype and deploy ML models, run experiments, and build anomaly detection systems to protect millions of customers and merchants across our platform.

We value a statistics-focused background with 3+ years in fraud or financial crime, and strong Python/SQL skills. This role collaborates with engineers, product managers, and analysts in a fast-paced, cross-functional environment.