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Role Summary

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HIGHLIGHTS

Mid-level P&C-focused analytics/actuarial role in a broking team focused on Technology Risk in San Francisco. You'll design analytical models, perform predictive analytics, and act as the primary liaison between account teams and internal analytics partners to ensure data quality and actionable insights. The role requires 4–6 years of insurance analytics experience and strong Python/SQL skills.

JOB DESCRIPTION SUMMARY

  • Design and implement analytical models for technology risk and specialty insurance
  • Translate complex insurance data into actionable insights and visualizations
  • Serve as primary liaison between account teams and internal analytics partners
  • Ensure data quality through validation and standardized preparation processes
  • Based in San Francisco office; occasional travel and flexible scheduling

DOMAIN EXPERTISE

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

KEY REQUIREMENTS

  • Bachelor's degree in Actuarial Science, Analytics, Finance, or related field
  • 4–6 years of insurance analytics or data analysis within the insurance industry
  • Proficiency in Python and SQL
  • Strong 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 analytics/actuarial role in a broking team focused on Technology Risk in San Francisco. You'll design analytical models, perform predictive analytics, and act as the primary liaison between account teams and internal analytics partners to ensure data quality and actionable insights. The role requires 4–6 years of insurance analytics experience and strong Python/SQL skills.

JOB DESCRIPTION SUMMARY

  • Design and implement analytical models for technology risk and specialty insurance
  • Translate complex insurance data into actionable insights and visualizations
  • Serve as primary liaison between account teams and internal analytics partners
  • Ensure data quality through validation and standardized preparation processes
  • Based in San Francisco office; occasional travel and flexible scheduling

DOMAIN EXPERTISE

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

KEY REQUIREMENTS

  • Bachelor's degree in Actuarial Science, Analytics, Finance, or related field
  • 4–6 years of insurance analytics or data analysis within the insurance industry
  • Proficiency in Python and SQL
  • Strong 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

Ideal for an associate-level P&C analytics actuary with 4–6 years in insurance analytics who excels at Python/SQL, data validation, and translating analysis for underwriting and broking stakeholders.

Benefits

Annual BonusFlexible Hours
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

Ideal for an associate-level P&C analytics actuary with 4–6 years in insurance analytics who excels at Python/SQL, data validation, and translating analysis for underwriting and broking stakeholders.

Benefits

Annual BonusFlexible Hours
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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