Actuarial Data Scientist IV

Title: Actuarial Data Scientist IV Duration: 9 months. RTH Location: Newark, NJ OR Fully Remote 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 client 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 client 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, CERA 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