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Data Scientist - Actuarial Modeling​/Developer

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Creative Solutions Services, LLC
Full Time, Part Time position
Listed on 2026-07-31
Job specializations:
  • Finance & Banking
    Actuary
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Contract to hire with a major financial firm in Newark, NJ. Hybrid, 3 days/week in office.

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 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 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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