cfo - New York, NY, United States - Liberty Mutual

Description

Designs cross model monitoring tools. Explores technical solutions to support model deployment. Partners cross functionally to support work of Data Scientists.

This level reflects broad knowledge of economics, financial markets, analytics and data science and experience applying technical knowledge to business issues.

Understanding of technology platforms, architecture or tools used to support modeling.
Understanding of economics, financial markets, investment instruments and related analyses
Some familiarity with ML deployments. Understanding of data science concepts and methodologies. Understanding of basic actuarial concepts and other product specific nuances that impact technical design of modeling products.
Demonstrate understanding of strategic goals of individual segments and broader Business Unit goals. Strong understanding of relevant data sources, tools and common statistical principles.

Proactively own, design and lead highly complex, accurate and timely analysis that is insightful and produces actionable results for stakeholders.

Own data and results of analysis and recommendation, and ensure the accuracy of the output of any given project.
Understand limitations/trade offs of tools available and designs projects accordingly. Advise on tools and project design.
Ensure design and monitoring aligns with roadmap. Design model and operational monitoring needs and work with appropriate resources to support development of product specific monitoring. Lead creation of product plan and communicate to stakeholders on complex projects. Handle larger volume of projects. Tailor message to audience including senior leadership, cross functional, and external partners. Powerfully storyboard the material in a way that clearly communicate message and drive buy in from stakeholder/audience on recommendations. Recommendations are creative, practical and will positively impact business results.
Interact cross functionally and with senior leadership and external partners.
Interact effectively and independently cross functionally, and with senior leadership & external partners. QualificationsBachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience with economics, financial markets and data science
Investments/economics experience is required
Python expertise required, R experience strongly preferred
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