Actuarial Modeling/Developer

Crossfire Consulting Corporation

  • Newark, NJ
  • 30+ days ago

    Highlights

    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. • ASA with 4 years of strong actuarial experience (product development, pricing, valuation, asset/investment/hedging/risk modeling, etc.).

    Numbers & Facts

    LocationNewark, NJ

    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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