Actuarial Data Scientist IV

HireTalent
Newark, NJ, United States
19 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Computer Programming Python (Programming Language) Machine Learning SQL Databases Google Cloud Model Validation Information Technology Vba Programming Language

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

  • 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

Requirements

  • 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

Apply for this position

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