Data Scientist (Fraud)

Moniepoint Group
India
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Data-driven","Investigative","Communication","Cross-functional collaboration"]

Build and deploy production-grade machine learning models for fraud detection, including monitoring and retraining to keep defenses effective. Design and run experiments to evaluate fraud interventions and balance customer experience with loss reduction. Analyze and size fraud typologies across product lines, and create anomaly detection systems to surface emerging fraud vectors before they scale. Partner with engineers, product managers, and analysts to turn model outputs into real-world mitigations.

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FursaFursa
Moniepoint Group
Moniepoint Group
18 hours ago

Data Scientist (Fraud)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and deploy production-grade machine learning models for fraud detection, including monitoring and retraining to keep defenses effective. Design and run experiments to evaluate fraud interventions and balance customer experience with loss reduction. Analyze and size fraud typologies across product lines, and create anomaly detection systems to surface emerging fraud vectors before they scale. Partner with engineers, product managers, and analysts to turn model outputs into real-world mitigations.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Prototype, evaluate, and help produce machine learning models for fraud detection; own monitoring and retraining cycles.
  • •Design and run experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
  • •Size fraud typologies across product lines to guide prioritization and investment decisions.
  • •Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.
  • •Collaborate with fraud operations, engineers, product managers, and data analysts to translate model outputs into mitigations.

Pay and Benefits

Perks:PensionHealth InsuranceAnnual Bonus

Key Requirements

  • •Strong foundation in statistics with a degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science).
  • •3+ years of experience in data science, decision science, or risk analytics in fraud, payments, or financial crime.
  • •Hands-on experience building and deploying machine learning models in a production environment.
  • •Solid grounding in experimentation, statistical inference, model evaluation, and feature engineering.
  • •Ability to work in fast-paced cross-functional teams with high ownership expectations.
Experience:3+ yearsFraudPaymentsFinancial crimeRisk analyticsDecision science
Education:
Skills:Data-drivenInvestigativeCommunicationCross-functional collaboration
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