Data Scientist
3 weeks ago
About the Role:
The Financial Services Modeling & Analytics team at Tiger Analytics is seeking a self-motivated and experienced Data Scientist to join our growing team. As a Senior Fraud Risk Analyst, you will be responsible for designing, developing, and implementing statistical models to mitigate fraud risk in various retail credit and scorecards.
Key Responsibilities:
- Design and execute statistical analyses to drive insights and strategy related to different types of fraud
- Develop and maintain relevant machine learning models to mitigate fraud risk
- Work closely with clients and stakeholders to understand their business context and develop solutions to mitigate fraud risk
- Present results to peers and higher levels of management
- Collaborate with the team to develop and maintain a broad range of business-critical problems across various work streams
Requirements:
- Bachelor's/ Master's Degree in a quantitative discipline with relevant work experience in analytics
- Experience coding in a flexible analytics language (e.g. Python, R)
- Strong analytical skills with the ability to extract business insights from complex data structures
What We Offer:
- Opportunity to work on a broad range of business-critical problems
- Collaborative and dynamic work environment
- Professional development opportunities
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