Description:
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Position: Data Scientist
Job ID: 40999
Responsibilities:
· · Apply advanced quantitative techniques analyze complex datasets and develop predictive models.
· · Develop, calibrate, validate, and stress-test probabilistic risk models for (re)insurance and financial services markets.
· · Design methods to assess the financial impact of various risks on single entities and large portfolios, focusing on diverse event types and supply chain risks.
· · Create and implement tools to visualize the impact of significant risk events.
· · Source, evaluate, and refine data features to improve probabilistic risk models.
· · Integrate and automate modeling processes within production pipelines.
· · Establish best practices for data validation, feature selection, and exposure modeling.
· · Drive best practices for a flexible and efficient modeling framework.
· · Communicate findings to stakeholders and collaborate on a technical level with clients.
· · Work closely with other Analytics teams, including Product Management, Engineering, and Client Engagement..
Qualifications:
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· Expertise in deep learning models, clustering, anomaly detection, and interpretability.
· 3+ years in statistical data analysis, feature engineering, visualization, and hypothesis testing.
· Strong leadership and mentoring skills, with a commitment to attracting top talent.
· Experience with diverse datasets
· Proficient in Python or R, and SQL.
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-->SALARY:120-150k
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