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