Data Scientist (remote)

RESPONSIBILITIES

1. Apply advanced quantitative techniques to analyze complex datasets and develop predictive models.
2. Develop, calibrate, validate, and stress-test probabilistic risk models for (re)insurance and financial services markets.
3. 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.
4. Create and implement tools to visualize the impact of significant risk events.
5. Source, evaluate, and refine data features to improve probabilistic risk models.
6. Integrate and automate modeling processes within production pipelines.
7. Establish best practices for data validation, feature selection, and exposure modeling.
8. Drive best practices for a flexible and efficient modeling framework.
9. Communicate findings to stakeholders and collaborate on a technical level with clients.
10. Work closely with other Analytics teams, including Product Management, Engineering, and Client Engagement.

QUALIFICATIONS

1. Expertise in deep learning models, clustering, anomaly detection, and interpretability.
2. 3+ years in statistical data analysis, feature engineering, visualization, and hypothesis testing.
3. Strong leadership and mentoring skills, with a commitment to attracting top talent.

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