Actuarial Modeling/Developer

Spectraforce Technologies; Newark (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Spectrumforce Technologies invites an Actuarial Modeling/Developer to join the Pension Risk Transfer pricing team in a hybrid Newark, NJ environment. You will design callable actuarial components, implement pricing models, and collaborate with quantitative experts to deliver pricing strategies for diverse pension plans.

The role emphasizes developing pricing infrastructure, data visualization, and insights for senior leadership, combining actuarial theory with software development in a

Qualifications

• Master's degree in actuarial science or related quantitative field.
• ASA designation and 4+ years actuarial experience in product pricing/valuation.
• Programming skills in Python, SQL, VBA; cloud platform experience a plus.

Responsibilities

• Design and develop callable actuarial components for pricing pipelines.
• Collaborate with quantitative professionals on pricing solutions for diverse pension plans.
• Build, enhance pricing models and automate processes through hands-on development.
• Develop pricing infrastructure and contribute to data visualization and reporting for decision‑making.
• Analyze population and plan data to determine mortality and other actuarial assumptions for pricing.

Skills

Python

SQL

VBA

Actuarial science

Math & statistics

Strong communication

Education

Master's Degree in Actuarial Science / mathematics / finance / CS

ASA with 4+ years actuarial experience

Tools

AWS / Azure / GCP

Job description

Job title: Actuarial Modeling/Developer

Duration: 9 months (Right to hire)

Location: Hybrid (Newark, NJ)

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 clients 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 clients 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