Actuarial Data Scientist IV
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Role details
Tech stack
Job description
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., * Design and develop callable actuarial components using Python, VBA, SQL, and other technologies, building modular logic that can be integrated into robust orchestration pipelines
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Collaborate with highly-specialized and talented quantitative professionals to develop creative pricing solutions and strategies for diverse pension plan structures
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Build, enhance, and maintain pricing models and tools, automating and streamlining processes through hands-on development
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Develop pricing infrastructure and contribute to data visualization and reporting processes used across the organization to manage business production and inform strategic decision-making
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Analyze population and pension plan specific experience data to determine mortality and other actuarial assumptions for pricing
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Provide timely, accurate and insightful pricing analytics to facilitate confident decision-making
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Support the development and execution of competitive positioning strategies
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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
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Leverage advanced analytics, machine learning, and AI-driven methodologies to partner with other emerging bodies across the client enterprise
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Support the exploration and evaluation of predictive analytics to enhance compliance with Model Risk standards
Requirements
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Strong foundation in actuarial first principles required
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Background in actuarial science, mathematics, computer science, statistics, or related quantitative discipline
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Master’s Degree (MA / BS) required. Degree in Actuarial Science, mathematics, finance, computer science, or related discipline preferred
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ASA with 4+ years of strong actuarial experience (product development, pricing, valuation, asset/investment/hedging/risk modeling, etc.)
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Pension experience preferred; familiarity with pension plan structures, liability valuation, and pension risk transfer pricing is a plus
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Programming skills preferred (Python, SQL, VBA); willingness to develop coding proficiency is expected. Experience with cloud platforms (AWS, Azure, GCP) is a plus
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FSA, MAAA, CFA, PhD, FRM, CERA or advanced degree in S.I.E.C. preferred but not required
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Candidates with alternative qualifications including 7+ years of relevant quantitative/technical experience are welcomed
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Strong quantitative modeling experience including complex quantitative concepts and models
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Strong communication skills, particularly in presenting results to senior executives
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Proven ability to articulate complex data into actionable insights for senior leadership
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Creative problem solver, particularly in areas with few best practices
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Highly motivated and ability to thrive in a fast-paced, results-oriented environment with high standards for quality
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Experience working at an insurance company or a multi-functional team is a plus
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