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Role Summary

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HIGHLIGHTS

Mid-level P&C-focused actuarial analytics role supporting a broking team in San Francisco. You will design bespoke analytical models, perform predictive analysis, and act as the primary liaison to internal analytics partners to ensure data quality and manage workloads. The role emphasizes insurance product risk evaluation for technology-related specialty scenarios and requires strong Python/SQL skills and 4–6 years of insurance analytics experience.

JOB DESCRIPTION SUMMARY

  • Design and implement bespoke analytics and predictive models for technology risk
  • Serve as primary liaison between account teams and internal analytics partners
  • Validate and prepare insurance data; develop standardized data prep procedures
  • Build data visualizations to communicate findings to stakeholders
  • Office-based role in San Francisco with occasional travel

DOMAIN EXPERTISE

  • Insurance analytics or data analysis in insurance
  • Understanding of insurance loss components and market dynamics
  • Data quality assurance and validation methodologies
  • Proficiency with Excel, SQL, and Python

KEY REQUIREMENTS

  • Bachelor's degree in Actuarial Science, Analytics, Finance, or related field
  • 4–6 years of insurance analytics or data analysis experience
  • Proficiency with Excel, SQL, and Python
  • Experience with data quality assurance and validation methodologies
  • Solid understanding of insurance loss components and market dynamics

TECH STACK

  • Excel
  • Tableau
  • Power_BI
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Role Summary

Loading...

HIGHLIGHTS

Mid-level P&C-focused actuarial analytics role supporting a broking team in San Francisco. You will design bespoke analytical models, perform predictive analysis, and act as the primary liaison to internal analytics partners to ensure data quality and manage workloads. The role emphasizes insurance product risk evaluation for technology-related specialty scenarios and requires strong Python/SQL skills and 4–6 years of insurance analytics experience.

JOB DESCRIPTION SUMMARY

  • Design and implement bespoke analytics and predictive models for technology risk
  • Serve as primary liaison between account teams and internal analytics partners
  • Validate and prepare insurance data; develop standardized data prep procedures
  • Build data visualizations to communicate findings to stakeholders
  • Office-based role in San Francisco with occasional travel

DOMAIN EXPERTISE

  • Insurance analytics or data analysis in insurance
  • Understanding of insurance loss components and market dynamics
  • Data quality assurance and validation methodologies
  • Proficiency with Excel, SQL, and Python

KEY REQUIREMENTS

  • Bachelor's degree in Actuarial Science, Analytics, Finance, or related field
  • 4–6 years of insurance analytics or data analysis experience
  • Proficiency with Excel, SQL, and Python
  • Experience with data quality assurance and validation methodologies
  • Solid understanding of insurance loss components and market dynamics

TECH STACK

  • Excel
  • Tableau
  • Power_BI

Job Overview

Salary
Salary not specified
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Associate-level P&C actuarial/analytics professional with 4–6 years in insurance analytics focused on specialty technology risk, skilled in Python and SQL, and experienced in data validation and predictive modeling.

Benefits

Annual BonusOnsite Only
Fresh Role
Premium Window
1d
1 days ago

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary
Salary not specified
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Associate-level P&C actuarial/analytics professional with 4–6 years in insurance analytics focused on specialty technology risk, skilled in Python and SQL, and experienced in data validation and predictive modeling.

Benefits

Annual BonusOnsite Only
Fresh Role
Premium Window
1d
1 days ago

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

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