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Role Summary

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HIGHLIGHTS

Summer actuarial internship on NFP's Property & Casualty actuarial team in Atlanta. The intern will analyze large insurance datasets, build models (e.g., Monte Carlo simulations), and create dashboards and automations using R, Python, SQL, Excel and Power BI. This is a hands-on intern role suited to students pursuing quantitative degrees and interested in P&C pricing and reserving analytics.

JOB DESCRIPTION SUMMARY

  • Summer P&C actuarial intern working with pricing and reserving analytics
  • Build Monte Carlo simulations and loss development dashboards
  • Work with Excel, R, Python, SQL and Power BI on real insurance data
  • Onsite in Atlanta as part of the Property & Casualty Actuarial team
  • Ideal for students pursuing actuarial or quantitative degrees

DOMAIN EXPERTISE

  • Working knowledge of Excel and at least one of R, Python, or SQL
  • Prior coursework or projects in data analysis or statistical modelling
  • Pursuit of a degree in Actuarial Science, Mathematics, Data Science or related

KEY REQUIREMENTS

  • Pursuing a degree in Actuarial Science, Mathematics, Data Science or related
  • Working knowledge of Excel and at least one of R, Python or SQL
  • Ability to work with large datasets and strong attention to detail
  • Prior coursework or projects involving data analysis or modeling
  • Strong written and verbal communication skills

TECH STACK

  • Excel
  • Power_BI
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Role Summary

Loading...

HIGHLIGHTS

Summer actuarial internship on NFP's Property & Casualty actuarial team in Atlanta. The intern will analyze large insurance datasets, build models (e.g., Monte Carlo simulations), and create dashboards and automations using R, Python, SQL, Excel and Power BI. This is a hands-on intern role suited to students pursuing quantitative degrees and interested in P&C pricing and reserving analytics.

JOB DESCRIPTION SUMMARY

  • Summer P&C actuarial intern working with pricing and reserving analytics
  • Build Monte Carlo simulations and loss development dashboards
  • Work with Excel, R, Python, SQL and Power BI on real insurance data
  • Onsite in Atlanta as part of the Property & Casualty Actuarial team
  • Ideal for students pursuing actuarial or quantitative degrees

DOMAIN EXPERTISE

  • Working knowledge of Excel and at least one of R, Python, or SQL
  • Prior coursework or projects in data analysis or statistical modelling
  • Pursuit of a degree in Actuarial Science, Mathematics, Data Science or related

KEY REQUIREMENTS

  • Pursuing a degree in Actuarial Science, Mathematics, Data Science or related
  • Working knowledge of Excel and at least one of R, Python or SQL
  • Ability to work with large datasets and strong attention to detail
  • Prior coursework or projects involving data analysis or modeling
  • Strong written and verbal communication skills

TECH STACK

  • Excel
  • Power_BI

Job Overview

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

Ideal Candidate Profile

An undergraduate intern (Actuarial/Math/Data Science) interested in P&C reserving and pricing, comfortable coding in R/Python/SQL and building dashboards in Power BI, with some coursework or projects in data analysis.

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

An undergraduate intern (Actuarial/Math/Data Science) interested in P&C reserving and pricing, comfortable coding in R/Python/SQL and building dashboards in Power BI, with some coursework or projects in data analysis.

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."

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