Data Scientist (Fraud)

Moniepoint Group
London
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration","Analytical thinking"]

Lead fraud-focused ML initiatives by prototyping, evaluating, and productionizing models, building anomaly and detection systems, and designing experiments to balance customer experience with loss reduction. Size fraud typologies, assess risk across product lines, and translate model outputs into real-world mitigations in close collaboration with engineers, product managers, fraud operations, and data analysts.

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Moniepoint Group
Moniepoint Group
8 months ago

Data Scientist (Fraud)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead fraud-focused ML initiatives by prototyping, evaluating, and productionizing models, building anomaly and detection systems, and designing experiments to balance customer experience with loss reduction. Size fraud typologies, assess risk across product lines, and translate model outputs into real-world mitigations in close collaboration with engineers, product managers, fraud operations, and data analysts.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

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

Pay and Benefits

Perks:Health InsurancePensionRemote Work

Key Requirements

  • •A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar)
  • •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 experience is a strong plus
  • •Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering
  • •Proficiency in Python and SQL; comfort working across the full model development lifecycle
Experience:5+ yearsFraudPaymentsFinancial crimeFintechData science
Education:Bachelor's in Statistics; Mathematics; Engineering; Computer Science
Skills:CommunicationProblem-solvingCollaborationAnalytical thinking
Languages:English
Tech Stack:PythonSQLMachine learningFeature engineeringExperimentationProduction deploymentAnomaly detection

Company Brief

Moniepoint Group
Provides digital payments, merchant services, agent banking, card issuance, and business banking solutions across Nigeria and other African markets, serving SMEs, merchants, and financial institutions with technology-first transaction and banking infrastructure.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Lagos, Nigeria
Founded: 2015
WebsiteLinkedIn