Fraud Detection Data Scientist

Democrance; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Pension

Job summary

Moniepoint is seeking a Data Scientist to sit at the heart of how we fight fraud — building models, experiments, and detection systems that protect millions of customers and merchants on our platform. This high-impact role merges machine learning, product, and engineering to shape how we detect and respond to evolving fraud threats.

You are data-driven and energized by hard problems in fraud and financial crime.

Qualifications

• Strong foundation in statistics with a quantitative degree.
• 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 a production environment.
• Fraud, risk, or financial services experience is a strong plus.
• Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering.
• Comfort working in fast-paced, cross-functional teams with high ownership expectations.

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

Experimentation

Cross-functional comms

Education

Statistics degree

Tools

ML deployment

Job description

Moniepoint is seeking a Data Scientist to sit at the heart of how we fight fraud — building models, experiments, and detection systems that protect millions of customers and merchants on our platform. This high-impact role merges machine learning, product, and engineering to shape how we detect and respond to evolving fraud threats.

You are data-driven and energized by hard problems in fraud and financial crime.