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Role Summary

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HIGHLIGHTS

Associate Actuary on Prudential's Retirement Methodology & Modeling team in Newark, NJ (hybrid). You will design and execute model testing, refine pricing methodology for retail annuities and institutional retirement, and support ALM and capital analysis. Role requires developing/testing models across MATLAB, Python and GGY-Axis and collaborating with model governance and pricing teams.

JOB DESCRIPTION SUMMARY

  • Lead model testing and control processes for retirement pricing models
  • Work across MATLAB, Python and GGY-Axis platforms
  • Support ALM risk analysis and capital framework work
  • Hybrid role based in Newark, NJ with recurring on-site days
  • Associate-level role (4–5 years actuarial/quant experience)

DOMAIN EXPERTISE

  • actuarial modeling and testing
  • model risk governance and compliance
  • programming (VBA or other languages)

KEY REQUIREMENTS

  • 4–5 years of actuarial or equivalent quantitative financial experience
  • Strong quantitative modeling and analytical skills
  • Solid programming ability (e.g., VBA) with MATLAB/Python experience a plus
  • Experience with model testing, model risk governance, and project management
  • Strong verbal and written communication skills

TECH STACK

  • Excel
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Role Summary

Loading...

HIGHLIGHTS

Associate Actuary on Prudential's Retirement Methodology & Modeling team in Newark, NJ (hybrid). You will design and execute model testing, refine pricing methodology for retail annuities and institutional retirement, and support ALM and capital analysis. Role requires developing/testing models across MATLAB, Python and GGY-Axis and collaborating with model governance and pricing teams.

JOB DESCRIPTION SUMMARY

  • Lead model testing and control processes for retirement pricing models
  • Work across MATLAB, Python and GGY-Axis platforms
  • Support ALM risk analysis and capital framework work
  • Hybrid role based in Newark, NJ with recurring on-site days
  • Associate-level role (4–5 years actuarial/quant experience)

DOMAIN EXPERTISE

  • actuarial modeling and testing
  • model risk governance and compliance
  • programming (VBA or other languages)

KEY REQUIREMENTS

  • 4–5 years of actuarial or equivalent quantitative financial experience
  • Strong quantitative modeling and analytical skills
  • Solid programming ability (e.g., VBA) with MATLAB/Python experience a plus
  • Experience with model testing, model risk governance, and project management
  • Strong verbal and written communication skills

TECH STACK

  • Excel

Job Overview

Salary
$107k - $166k
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An Associate-level retirement actuary with 4–5 years' quantitative experience, strong modeling and programming skills (VBA/MATLAB/Python), comfortable leading model testing and working with ALM and capital frameworks.

Benefits

Annual BonusHealth InsuranceDental InsuranceVision Insurance401(k) PlanHigh 401(k) MatchWellness ProgramTuition ReimbursementEquity/Stock OptionsPaid Parental Leave
Shortlist Forming
Closing Soon
73d
73 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

Job Overview

Salary
$107k - $166k
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An Associate-level retirement actuary with 4–5 years' quantitative experience, strong modeling and programming skills (VBA/MATLAB/Python), comfortable leading model testing and working with ALM and capital frameworks.

Benefits

Annual BonusHealth InsuranceDental InsuranceVision Insurance401(k) PlanHigh 401(k) MatchWellness ProgramTuition ReimbursementEquity/Stock OptionsPaid Parental Leave
Shortlist Forming
Closing Soon
73d
73 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

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