Data Scientist (Fraud)
New
M
MoniepointFintech, fraud detection
Remote, London, United KingdomFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
- Required Skills
- PythonSQLMachine Learning
Requirements
- Hold a degree in a quantitative field such as Statistics, Mathematics, Engineering, or Computer Science, or a similar field.
- Have 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
- Have hands-on experience building and deploying machine learning models in a production environment.
- Be proficient in Python and SQL.
- Have a solid grounding in experimentation, statistical inference, model evaluation, and feature engineering.
- Be comfortable working in fast-paced, cross-functional teams with high ownership expectations.
- Fraud, risk, or financial services experience is a strong plus.
Responsibilities
- Prototype, evaluate, and help produce machine learning models for fraud detection.
- Own ongoing model 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 product lines to inform prioritization and investment decisions.
- Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.
- Partner with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.
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