Role Summary

HIGHLIGHTS

Senior P&C actuarial analyst role focused on predictive modeling tools and dashboards for commercial insurance. You will build and maintain Shiny/Streamlit apps, Power BI reporting, and data pipelines while collaborating with actuarial, data science, and underwriting teams in New York. Role requires actuarial judgement, modeling interpretation, and strong coding skills in R/Python and SQL.

JOB DESCRIPTION SUMMARY

Build and maintain Shiny/Streamlit apps and Power BI dashboards for model review
Develop data pipelines, automated data checks, and model drift monitoring
Collaborate with actuarial, data science, and underwriting teams
Use R and Python for data exploration, modeling, and tooling
Senior individual contributor based in New York (AmTrust)

DOMAIN EXPERTISE

Actuarial predictive modeling tools development
Data exploration and visualization with R or Python
Complex SQL query development
Power BI, Shiny, or Streamlit dashboarding
Statistical methods applied to insurance data

KEY REQUIREMENTS

3+ years of actuarial experience and actively pursuing ACAS or FCAS
3+ years hands-on data work in R or Python and working familiarity with the other
Strong SQL skills for reading and writing complex queries
Experience with Power BI, Shiny, Streamlit, and Git-based development
Solid grounding in statistical methods for insurance data

TECH STACK

Power_BI
Git_GitHub
Jupyter_Notebook

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build and maintain Shiny/Streamlit apps and Power BI dashboards for model review
Develop data pipelines, automated data checks, and model drift monitoring
Collaborate with actuarial, data science, and underwriting teams
Use R and Python for data exploration, modeling, and tooling
Senior individual contributor based in New York (AmTrust)

DOMAIN EXPERTISE

Actuarial predictive modeling tools development
Data exploration and visualization with R or Python
Complex SQL query development
Power BI, Shiny, or Streamlit dashboarding
Statistical methods applied to insurance data

KEY REQUIREMENTS

3+ years of actuarial experience and actively pursuing ACAS or FCAS
3+ years hands-on data work in R or Python and working familiarity with the other
Strong SQL skills for reading and writing complex queries
Experience with Power BI, Shiny, Streamlit, and Git-based development
Solid grounding in statistical methods for insurance data

TECH STACK

Power_BI
Git_GitHub
Jupyter_Notebook

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build and maintain Shiny/Streamlit apps and Power BI dashboards for model review
Develop data pipelines, automated data checks, and model drift monitoring
Collaborate with actuarial, data science, and underwriting teams
Use R and Python for data exploration, modeling, and tooling
Senior individual contributor based in New York (AmTrust)

DOMAIN EXPERTISE

Actuarial predictive modeling tools development
Data exploration and visualization with R or Python
Complex SQL query development
Power BI, Shiny, or Streamlit dashboarding
Statistical methods applied to insurance data

KEY REQUIREMENTS

3+ years of actuarial experience and actively pursuing ACAS or FCAS
3+ years hands-on data work in R or Python and working familiarity with the other
Strong SQL skills for reading and writing complex queries
Experience with Power BI, Shiny, Streamlit, and Git-based development
Solid grounding in statistical methods for insurance data