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Role Summary

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HIGHLIGHTS

Senior P&C catastrophe risk researcher role with Nationwide's Catastrophe Risk Modeling team. You'll build data pipelines, perform advanced analytics, and validate catastrophe exposure data for physical property portfolios. Requires ACAS credential and strong SQL/Python/R skills. Based in Columbus, OH with remote flexibility considered.

JOB DESCRIPTION SUMMARY

Lead catastrophe risk research and analytics for property portfolios
Build and maintain data pipelines using SQL, Python, R, Databricks, Snowflake
Validate and transform catastrophe exposure data for decision-making
Partner with business stakeholders to deliver actionable risk insights
Requires ACAS credential; FCAS progress preferred

DOMAIN EXPERTISE

P&C pricing or reserving
Catastrophe modeling (highly preferred)
Data pipeline and ETL experience
Statistical modeling and stochastic processes

KEY REQUIREMENTS

ACAS level actuary credential required
7+ years in P&C pricing or reserving (cat modeling preferred)
Strong SQL proficiency and working Python/R
Bachelor's in quantitative field (actuarial, data science, etc.)
No visa sponsorship available; must be US work authorized

TECH STACK

Excel
Databricks
Snowflake

Salary Pro Post a Job

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Role Summary

Loading...

HIGHLIGHTS

Senior P&C catastrophe risk researcher role with Nationwide's Catastrophe Risk Modeling team. You'll build data pipelines, perform advanced analytics, and validate catastrophe exposure data for physical property portfolios. Requires ACAS credential and strong SQL/Python/R skills. Based in Columbus, OH with remote flexibility considered.

JOB DESCRIPTION SUMMARY

Lead catastrophe risk research and analytics for property portfolios
Build and maintain data pipelines using SQL, Python, R, Databricks, Snowflake
Validate and transform catastrophe exposure data for decision-making
Partner with business stakeholders to deliver actionable risk insights
Requires ACAS credential; FCAS progress preferred

DOMAIN EXPERTISE

P&C pricing or reserving
Catastrophe modeling (highly preferred)
Data pipeline and ETL experience
Statistical modeling and stochastic processes

KEY REQUIREMENTS

ACAS level actuary credential required
7+ years in P&C pricing or reserving (cat modeling preferred)
Strong SQL proficiency and working Python/R
Bachelor's in quantitative field (actuarial, data science, etc.)
No visa sponsorship available; must be US work authorized

TECH STACK

Excel
Databricks
Snowflake

Sr Consultant, Risk Researcher

Nationwide

P&C/Insurer/IC Level

Sr Consultant, Risk Researcher

Columbus, Ohio, United States•3h ago

FlexibleMulti Line

Job Overview

Salary

$149k - $262k

Years of Experience

7+ Years

Work Type

Permanent

Full Time

Ideal Candidate Profile

Ideal for an ACAS-level actuary with 7+ years in P&C pricing/reserving who enjoys hands-on catastrophe analytics, data engineering, and has strong SQL/Python skills. A curious, detail-oriented researcher who can turn complex exposure data into business value.

ACAS

Benefits

Health InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term DisabilityGenerous Vacation401(k) PlanPaid Time Off

Fresh Role

Premium Window

0d

Posted Today

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

$149k - $262k

Years of Experience

7+ Years

Work Type

Permanent

Full Time

Ideal Candidate Profile

Ideal for an ACAS-level actuary with 7+ years in P&C pricing/reserving who enjoys hands-on catastrophe analytics, data engineering, and has strong SQL/Python skills. A curious, detail-oriented researcher who can turn complex exposure data into business value.

ACAS

Benefits

Health InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term DisabilityGenerous Vacation401(k) PlanPaid Time Off

Fresh Role

Premium Window

0d

Posted Today

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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