Position: Data Scientist (lead)
Job ID:		40998


Responsibilities:
· Apply advanced quantitative methods (statistical modeling, machine learning, simulations, optimization) to analyze complex data and build predictive models; 
· 
· Develop, calibrate, validate, and stress-test probabilistic cyber risk models for (re)insurance and financial services.
· Create methods to quantify the financial impact of cyber risks for individual entities and large portfolios, with a focus on digital/physical supply chain risks.
· Build tools to visualize cyber event impacts.
· Source and refine data features to enhance probabilistic risk models.
· Integrate and automate modeling processes into production pipelines.
· Establish best practices for data validation, feature selection, and catastrophe exposure modeling.
· Promote best practices in designing a flexible and rapid modeling framework.
· Present results to stakeholders and collaborate on technical levels with clients.
· Partner with teams across Analytics.
· .

Qualifications:

·  MS or a Phd in Applied Mathematics, Statistics, Engineering, or a related quantitative field.
·  Expertise in deep learning models, clustering, anomaly detection, and interpretability.
·  5+ 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.
.

-->SALARY:150-200k

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