Actuarial Modeling/Developer

Creative Solutions Services, LLC

Newark (NJ)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Prudential's Actuarial Modeling/Developer team in Newark focuses on designing callable actuarial components for pricing pipelines and integrating them into the PRT infrastructure. The role emphasizes actuarial first principles, cross-functional collaboration, and building scalable pricing solutions.

The position involves developing pricing models, data visualization, and reporting tools to support strategic decisions and regulatory compliance within a fast-paced environment.

Qualifications

  • Strong foundation in actuarial first principles
  • Background in actuarial science, mathematics, statistics or related quantitative discipline
  • Programming skills: Python, SQL, VBA; willingness to develop
  • Experience with pricing models, valuation, and risk modeling
  • Excellent communication and ability to present results to senior leadership

Responsibilities

  • Design and develop callable actuarial components for pricing pipelines
  • Collaborate with quantitative professionals on pricing solutions for pension plans
  • Build, enhance, and maintain pricing models and tools
  • Develop pricing infrastructure and support data visualization and reporting
  • Analyze plan experience data to determine actuarial assumptions
  • Provide pricing analytics to support decision-making
  • Support competitive positioning strategies and regulatory compliance

Job description

Job Title: Actuarial Modeling/Developer - Pension Risk Transfer (PRT)

Team Location: Newark

Duration: 9 mo.

Overview

The Actuarial Modeling/Developer - Pension Risk Transfer (PRT) Team, is a position that plays a key role in the overall pricing operations and infrastructure development of Prudential's PRT Business. This role requires a strong foundation in actuarial first principles, with the primary focus on designing and developing callable actuarial components that integrate into broader pricing pipelines.

Primary Responsibilities
  • Design and develop callable actuarial components using Python, VBA, SQL, and other technologies, building modular logic that can be integrated into robust orchestration pipelines
  • Collaborate with highly-specialized and talented quantitative professionals to develop creative pricing solutions and strategies for diverse pension plan structures
  • Build, enhance, and maintain pricing models and tools, automating and streamlining processes through hands-on development
  • Develop pricing infrastructure and contribute to data visualization and reporting processes used across the organization to manage business production and inform strategic decision-making
  • Analyze population and pension plan specific experience data to determine mortality and other actuarial assumptions for pricing
  • Provide timely, accurate and insightful pricing analytics to facilitate confident decision-making
  • Support the development and execution of competitive positioning strategies
  • Collaborate cross-functionally across the organization to develop and implement pricing strategies that balance competitiveness and profitability while ensuring compliance with internal standards and external regulations
Nice to Have Responsibilities
  • Leverage advanced analytics, machine learning, and AI-driven methodologies to partner with other emerging bodies across the Prudential enterprise
  • Support the exploration and evaluation of predictive analytics to enhance compliance with Model Risk standards
Qualifications
  • Strong foundation in actuarial first principles required
  • Background in actuarial science, mathematics, computer science, statistics, or related quantitative discipline
  • Master's Degree (MA / BS) required. Degree in Actuarial Science, mathematics, finance, computer science, or related discipline preferred
  • ASA with 4 years of strong actuarial experience (product development, pricing, valuation, asset/investment/hedging/risk modeling, etc.)
  • Pension experience preferred; familiarity with pension plan structures, liability valuation, and pension risk transfer pricing is a plus
  • Programming skills preferred (Python, SQL, VBA); willingness to develop coding proficiency is expected. Experience with cloud platforms (AWS, Azure, GCP) is a plus
  • FSA, MAAA, CFA, PhD, FRM, Client or advanced degree in S.I.E.C. preferred but not required
  • Candidates with alternative qualifications including 7 years of relevant quantitative/technical experience are welcomed
  • Strong quantitative modeling experience including complex quantitative concepts and models
  • Strong communication skills, particularly in presenting results to senior executives
  • Proven ability to articulate complex data into actionable insights for senior leadership
  • Creative problem solver, particularly in areas with few best practices
  • Highly motivated and ability to thrive in a fast-paced, results-oriented environment with high standards for quality
  • Experience working at an insurance company or a multi-functional team is a plus

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