
Predictive Model Developer
3 days ago
Risk Modelling and Data Science Role
We are seeking a skilled Risk Modelling and Data Scientist to join our data science team.
The successful candidate will have expertise in building predictive models using supervised and unsupervised methods on fraud behavior, based on historical risk and expert experience.
The ideal candidate will work closely with risk strategy analysts to solve real business problems using appropriate algorithms, balancing customer experience and security. They will design and implement optimal risk-benefit decisions by optimization theorem and methods.
Key responsibilities:
- Build predictive models using supervised and unsupervised methods
- Work closely with risk strategy analysts to solve business problems
- Design and implement optimal risk-benefit decisions
Requirements:
- A PhD or Master's degree in Computer Science, Statistics, or a related field is preferred
- Solid understanding of machine learning algorithms/tools like SQL/Python
- Adept analytical thinking and problem-solving skills
- Self-motivated and self-learning with good creativity and communication skills
- Experience as a data scientist, preferably with project or research experience at a lab
Seniority Level: Mid-Senior
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