Position Details
About this role
This role involves performing sophisticated data analytics, building predictive models, and providing actionable insights to detect and prevent fraud in a financial services environment.
Key Responsibilities
- Perform data analytics, develop predictive models, create data visualizations, collaborate with stakeholders, deploy analytics solutions
Technical Overview
The environment includes data science using Python, SAS, R, with applications in machine learning, NLP, neural networks, and big data analytics, supporting fraud detection and risk management.
Ideal Candidate
An entry-level data scientist with foundational skills in Python, SAS, R, and machine learning techniques. The candidate should be eager to analyze unstructured and structured data, develop predictive models, and communicate insights effectively within a financial services context.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python, SAS, or R, No understanding of machine learning or statistical analysis, No relevant data science skills, Location restrictions without remote options
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