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3 days ago
We're seeking a skilled Data Scientist to join our Credit Risk team, where you'll play a pivotal role in improving application scoring and behavioral scoring models. Your expertise will drive informed decision-making, enhance onboarding processes, and increase portfolio profitability.
The ideal candidate will own the full modeling cycle, from data exploration to deployment, and possess hands-on experience with credit scoring models. Proficiency in Python (pandas, scikit-learn) and SQL for data analysis and modeling is essential. Additionally, knowledge of machine learning algorithms, statistics, and probability will be valuable assets in this role.
- Responsibilities:
- Create and validate accurate predictive models to minimize risk and maximize returns
- Collaborate with cross-functional teams to understand business context, generate hypotheses, and refine decision-making strategies
- Communicate complex analytical findings to both technical and non-technical stakeholders
- Continuously monitor model performance, identifying areas for improvement and implementing adjustments as needed
- 2+ years of hands-on experience in data analytics or data science
- Deep understanding of statistical concepts, machine learning algorithms, and data visualization techniques
- Proficiency in Python (pandas, NumPy, Matplotlib) and SQL for data analysis and modeling
- Experience working with large datasets, identifying trends, and developing actionable insights
- Ability to work independently and collaboratively as part of a dynamic team
- Pioneering company in fintech, aiming to revolutionize financial services
- Dynamic international team with rapid professional growth opportunities
- Rewarding compensation package with recognition for outstanding performance
- Hybrid remote options available
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