Data Scientist - Fraud Prevention
New
S
SardineFraud Prevention
UK, Germany, Ireland, Spain, Poland, Bulgaria and Lithuania - RemoteFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLMachine LearningSparkR
Requirements
- 7+ years of experience in data science or quantitative modeling
- Experience in risk or fraud contexts
- Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.)
- Strong working knowledge of Python
- Strong working knowledge of R
- Strong working knowledge of Spark
- Strong working knowledge of SQL
- Sharp critical thinking and creative problem-solving skills
- Proven ability to explain complex technical findings to non-technical stakeholders and clients
Responsibilities
- Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
- Build and deploy machine learning models to prevent fraud across diverse fintech use cases
- Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
- Work directly with clients to understand challenges and deliver high-impact, data-driven solutions
- Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives
- Collaborate with engineering to scale models into production and optimize performance
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