Moniepoint Inc. (Formerly TeamApt Inc.)

Data Science Manager – Fraud

Moniepoint Inc. (Formerly TeamApt Inc.)

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

PythonSQL

About the role

  • Set the Strategy: Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
  • Lead the Team: Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
  • Architect Solutions: Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
  • Model Mastery: Develop fraud scoring methodologies and build features from high-volume transactional, device, and behavioural data.
  • Optimise Outcomes: Design and run experiments to improve precision and recall, balancing security with a seamless user experience.
  • Governance & Integrity: Ensure data quality and the responsible use of models within our regulated environments.
  • Continuous Monitoring: Keep a pulse on model performance and drift, ensuring our defences evolve as fast as the threats do.

Requirements

  • 6+ years of experience in Data Science, Decision Science, or Fraud Risk, ideally within financial services.
  • A degree or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, or similar).
  • Deep knowledge of fraud typologies, financial crime, and the regulatory landscape.
  • Proficiency in SQL and at least one programming language (Python is our primary tool).
  • Demonstrated success in building and deploying machine learning models at scale.
  • Experience leading or mentoring technical teams in a fast-paced environment.
  • Preferred Qualifications
  • Experience with A/B testing and experimentation in real-time environments.
  • Familiarity with churn management and user retention modelling.
  • Advanced degree (MSc or PhD) in a related quantitative field.
Benefits
  • Culture: We put our people first. We’ve built a company where all voices are heard and where we value each other as humans.
  • Learning: We’re a knowledge-sharing environment with regular technical talks and a focus on training.
  • Compensation: You’ll receive an attractive salary, pension, health insurance, annual bonus, and other benefits.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ScienceDecision ScienceFraud RiskSQLPythonMachine LearningA/B TestingUser Retention ModellingFraud Scoring MethodologiesData Architecture
Soft Skills
MentoringTeam LeadershipContinuous LearningCollaborationProblem SolvingCommunicationAdaptabilityAnalytical ThinkingStrategic ThinkingExperimentation
Certifications
MScPhD