Senior Data Scientist in the Anti Fraud Team at Prima, improving fraud detection across UK and Spain.
NU
Hybrid Data Scientist – Lending Analytics, Credit Risk
Posted 23 hours ago
About the role
- Data Scientist responsible for analytical insights in Lending Analytics and Credit Risk. Utilizing machine learning and data modeling to improve organizational impact while managing credit risk.
Responsibilities
- Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization with a focus on managing credit risk.
- Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models.
- Perform routine assignments with increasing scope and complexity.
- Work under close supervision with some latitude for problem solving within existing data platforms and tools.
- Developing professional with basic skill set and proficiency.
Requirements
- 2-3 years of experience in exploratory data analysis
- Statistics
- Programming, data modeling, simulation, and mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Problem Solving (Responds as problems and issues are identified)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
- Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
Benefits
- Competitive pay
- Generous benefits and perks
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