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Role Summary

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HIGHLIGHTS

Entry-level model risk associate role in Prudential's Enterprise Risk Management, based in Newark, NJ (hybrid). You will perform independent model reviews, build challenger models, and evaluate model risk across life insurance products, ALM and valuation frameworks. The role is open to candidates with actuarial or quantitative finance backgrounds and requires strong programming skills (Python, VBA).

JOB DESCRIPTION SUMMARY

  • Perform independent model reviews and document findings
  • Build challenger models and analytical tools for life products
  • Focus on ALM and valuation of financial derivatives
  • Hands-on programming in Python and VBA
  • Hybrid role based in Newark, NJ; 0–2 years experience

DOMAIN EXPERTISE

  • Knowledge of life insurance products and actuarial models
  • Valuation of financial derivatives (options, swaps, swaptions)
  • Asset Liability Management (ALM) for insurance products

KEY REQUIREMENTS

  • 0–2 years of quantitative finance, financial engineering, or actuarial experience
  • Strong knowledge of life insurance products and actuarial models
  • B.S. in a quantitative field (graduate degree preferred)
  • Hands-on experience with Python and VBA
  • Strong knowledge of valuation for derivatives and ALM

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Entry-level model risk associate role in Prudential's Enterprise Risk Management, based in Newark, NJ (hybrid). You will perform independent model reviews, build challenger models, and evaluate model risk across life insurance products, ALM and valuation frameworks. The role is open to candidates with actuarial or quantitative finance backgrounds and requires strong programming skills (Python, VBA).

JOB DESCRIPTION SUMMARY

  • Perform independent model reviews and document findings
  • Build challenger models and analytical tools for life products
  • Focus on ALM and valuation of financial derivatives
  • Hands-on programming in Python and VBA
  • Hybrid role based in Newark, NJ; 0–2 years experience

DOMAIN EXPERTISE

  • Knowledge of life insurance products and actuarial models
  • Valuation of financial derivatives (options, swaps, swaptions)
  • Asset Liability Management (ALM) for insurance products

KEY REQUIREMENTS

  • 0–2 years of quantitative finance, financial engineering, or actuarial experience
  • Strong knowledge of life insurance products and actuarial models
  • B.S. in a quantitative field (graduate degree preferred)
  • Hands-on experience with Python and VBA
  • Strong knowledge of valuation for derivatives and ALM

TECH STACK

  • No tech stack specified

Job Overview

Salary
$79k - $117k
Years of Experience
0+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An entry-level (0–2 years) quantitative candidate with a life insurance or finance background, strong Python/VBA skills, and solid understanding of ALM and derivative valuation.

Benefits

Annual BonusHealth InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term Disability401(k) PlanHigh 401(k) MatchWellness ProgramTuition ReimbursementEquity/Stock OptionsPaid Parental Leave
Shortlist Forming
Closing Soon
44d
44 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
$79k - $117k
Years of Experience
0+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An entry-level (0–2 years) quantitative candidate with a life insurance or finance background, strong Python/VBA skills, and solid understanding of ALM and derivative valuation.

Benefits

Annual BonusHealth InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term Disability401(k) PlanHigh 401(k) MatchWellness ProgramTuition ReimbursementEquity/Stock OptionsPaid Parental Leave
Shortlist Forming
Closing Soon
44d
44 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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