Moniepoint
Data Scientist (Fraud Detection, Machine Learning)
Remote · Kenya, South Africa · EU / UK hours · Full-timePay not disclosedAbout a minute here, then a few on Moniepoint's site. Your application is saved on Tamborin first.
What this role offers
Verified candidates onlyNeeds a passed Tamborin skills check
EU / UK hoursCore overlap around 9:00–15:00 UTC
- Type
- Full-time
- Pay
- Pay not disclosed
- Where
- Remote · Kenya, South Africa
- Start
- Flexible
- Who can apply
- EU / UK hours
- Apply by
- Open until filled
- Experience
- Mid level
- Openings
- 1
About the role
What you'll do
Moniepoint, one of Africa's largest fintechs, wants a Data Scientist for its fraud team. You will build and ship machine learning models that catch fraud, run experiments that weigh customer experience against losses, size fraud patterns across products, and set up anomaly detection that spots new attack vectors early, working closely with engineers, product managers and fraud operations.
Requirements
- Degree in statistics, mathematics, engineering, computer science or a similar field
- 3+ years in data science or risk analytics, ideally in fraud, payments or financial crime
- Experience deploying ML models to production
- Strong Python and SQL
- Able to explain technical results to non-technical teams
Remote for candidates based in Kenya or South Africa (Moniepoint lists a separate posting for each country).
Skills
PythonSQLMachine learningFraud detectionExperimentation
About Moniepoint
Lagos, NigeriaWebsite ↗Pay not disclosedMoniepoint · EU / UK hours