Fraud Detection ML Scientist (Production-Grade)

Moniepoint Inc.; Greater London; Hybrid; GBP 65,000 - 110,000; Full time

Benefits offered by this job

Culture first

Learning culture

Competitive compensation

Job summary

Moniepoint Inc. in London seeks a Data Scientist to join our fraud-focused team. You will prototype, deploy, and monitor ML models to detect fraud, and partner with engineers, product managers, and analysts to turn insights into production defenses.

You have 3+ years in data science or risk analytics, a strong statistics foundation, and proficiency in Python and SQL for end-to-end model development.

Qualifications

• Strong foundation in statistics with a quantitative degree.
• 3+ years in data science, risk analytics, or fraud domains.
• Hands-on ML model development and production deployment.
• Experience in fraud, risk, or financial services is a plus.
• Proficient in experimentation, inference, and feature engineering.

Responsibilities

• Prototype, evaluate, and help produce ML models for fraud detection; monitor and retrain continuously.
• Design experiments to measure fraud interventions and balance customer experience with loss reduction.
• Size fraud typologies across product lines to guide prioritization and investment.
• Build and maintain anomaly detection systems for novel fraud vectors.
• Collaborate with fraud ops, engineers, product managers, and data analysts to translate outputs into mitigations.

Skills

Statistics

Machine Learning

Fraud detection

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in Statistics/Mathematics/CS

Tools

Python

SQL

Job description

Moniepoint Inc. in London seeks a Data Scientist to join our fraud-focused team. You will prototype, deploy, and monitor ML models to detect fraud, and partner with engineers, product managers, and analysts to turn insights into production defenses.

You have 3+ years in data science or risk analytics, a strong statistics foundation, and proficiency in Python and SQL for end-to-end model development.