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Role Summary

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HIGHLIGHTS

Summer actuarial internship on NFP’s Property & Casualty Actuarial team in New York. You’ll work with actuaries to analyze large datasets, build models (e.g., Monte Carlo simulations), create dashboards from SQL sources, and support pricing and reserving work. Ideal for a quantitative student with R/Python/SQL skills.

JOB DESCRIPTION SUMMARY

  • Summer intern on the Property & Casualty Actuarial team in New York
  • Analyze large insurance datasets and validate model outputs
  • Build Monte Carlo claim simulations and work with loss development triangles
  • Create dashboards from SQL data and automate reporting with Power BI
  • Use Excel plus R, Python, or SQL to support pricing and reserving tasks

DOMAIN EXPERTISE

  • Data analysis and modeling coursework or internships
  • Working knowledge of Excel and one scripting language (R, Python, or SQL)

KEY REQUIREMENTS

  • Pursuing a degree in Actuarial Science, Mathematics, Data Science, or related field
  • Working knowledge of Excel and at least one scripting language (R, Python, or SQL)
  • Prior coursework, projects, or internships involving data analysis or modeling
  • Ability to work with large datasets and strong attention to detail

TECH STACK

  • Excel
  • Power_BI
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Role Summary

Loading...

HIGHLIGHTS

Summer actuarial internship on NFP’s Property & Casualty Actuarial team in New York. You’ll work with actuaries to analyze large datasets, build models (e.g., Monte Carlo simulations), create dashboards from SQL sources, and support pricing and reserving work. Ideal for a quantitative student with R/Python/SQL skills.

JOB DESCRIPTION SUMMARY

  • Summer intern on the Property & Casualty Actuarial team in New York
  • Analyze large insurance datasets and validate model outputs
  • Build Monte Carlo claim simulations and work with loss development triangles
  • Create dashboards from SQL data and automate reporting with Power BI
  • Use Excel plus R, Python, or SQL to support pricing and reserving tasks

DOMAIN EXPERTISE

  • Data analysis and modeling coursework or internships
  • Working knowledge of Excel and one scripting language (R, Python, or SQL)

KEY REQUIREMENTS

  • Pursuing a degree in Actuarial Science, Mathematics, Data Science, or related field
  • Working knowledge of Excel and at least one scripting language (R, Python, or SQL)
  • Prior coursework, projects, or internships involving data analysis or modeling
  • Ability to work with large datasets and strong attention to detail

TECH STACK

  • Excel
  • Power_BI

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Job Overview

Salary
$42k - $62k
Work Type
Permanent
Full Time

Ideal Candidate Profile

A quantitative undergraduate (Actuarial Science, Math, Data Science) seeking a P&C actuarial internship, familiar with R/Python/SQL and eager to build reserving and pricing models while learning from experienced actuaries.

Benefits

Generous Vacation401(k) PlanHigh 401(k) MatchHealth InsuranceWellness ProgramAnnual Bonus
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
$42k - $62k
Work Type
Permanent
Full Time

Ideal Candidate Profile

A quantitative undergraduate (Actuarial Science, Math, Data Science) seeking a P&C actuarial internship, familiar with R/Python/SQL and eager to build reserving and pricing models while learning from experienced actuaries.

Benefits

Generous Vacation401(k) PlanHigh 401(k) MatchHealth InsuranceWellness ProgramAnnual Bonus
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."

P&C/Consultancy/Intern Level
National Financial Partners

2026 Summer Data Analytics & Actuarial Intern

National Financial Partners•New York, United States•1d ago
OnsiteNot SpecifiedReserving & ValuationPricing & RatingPredictive Modelling & ML