Data Scientist (Fraud)

Moniepoint Group
Spain
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Python","SQL","Communication","Problem-solving","Teamwork","Data analysis"]

A high-impact Data Scientist role focused on fraud detection and financial crime, building production-ready ML models, running experiments to measure intervention impact, and surfacing novel fraud signals. Collaborate with engineers, product managers, and analysts to translate model outputs into real-world mitigations across Moniepoint’s platform, protecting millions of customers and merchants.

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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: 16 hours agoStatus: Live

Job Summary

A high-impact Data Scientist role focused on fraud detection and financial crime, building production-ready ML models, running experiments to measure intervention impact, and surfacing novel fraud signals. Collaborate with engineers, product managers, and analysts to translate model outputs into real-world mitigations across Moniepoint’s platform, protecting millions of customers and merchants.
Location: Spain
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Prototype, evaluate, and help productionize 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 prioritisation 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.

Pay and Benefits

Perks:Health InsurancePensionAnnual Bonus

Key Requirements

  • •5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
  • •A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar).
  • •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+ yearsFraudFintechFinancial crime
Education:Bachelor's
Skills:PythonSQLCommunicationProblem-solvingTeamworkData analysis
Languages:English
Tech Stack:PythonSQL

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