About this opportunity
Creative Solutions Services, LLC lists this Data Scientist - Actuarial Modeling/Developer opportunity in newark, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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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Worksite address
newark, NJ, 07175, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.