3 дня назад
Predictive Modeler / Pricing Modeler – Commercial Actuarial - Remote
118 000 - 178 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Predictive Modeler / Pricing Modeler – Commercial Actuarial - Remote (R/Python/SQL): Building and refining predictive and actuarial models that support commercial insurance pricing and underwriting decisions with an accent on risk modeling, statistical analysis, and translating data into actionable business insight. Focus on implementing machine learning and statistical techniques, evaluating model limitations, and developing solutions for complex insurance and financial risk problems.
Location: Remote within the lower 48 U.S. states; office location listed as Columbus, Ohio.
Salary: Expected starting range of $118,000–$178,000 annually; national range of $118,000–$222,000 annually.
Company
is a Fortune 100 insurance and financial services company using data, actuarial analysis, and risk modeling to support business decisions.
What you will do
- Build, enhance, and refine predictive, actuarial, and pricing models for commercial insurance.
- Research and implement financial engineering, data science, and statistical techniques for risk management and business applications.
- Analyze model outputs, identify limitations, assess impacts, and develop corrective quantitative methods.
- Test risk limits and provide quantitative guidance for asset allocation, risk transfer, product growth, pricing, and underwriting decisions.
- Collaborate with finance, actuarial, modeling, and business partners to align assumptions, processes, and outputs.
- Own complex quantitative modeling processes, maintain model documentation, and act as a technology owner for Risk Analytics.
Requirements
- At least five years of related experience in financial risk modeling or actuarial functions.
- Undergraduate education in finance, accounting, economics, statistics, mathematics, or a related field.
- Experience with predictive modeling or pricing models, preferably in commercial insurance, property and casualty insurance, or insurance analytics.
- Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods, and specialized risk modeling techniques.
- Hands-on experience with R, Python, SQL, or similar analytical tools, plus intermediate Excel proficiency.
- Ability to translate data into actionable pricing or underwriting insights and communicate effectively with technical and business partners.
Nice to have
- Graduate-level studies in a related discipline.
- Progress toward FCAS, FSA, CQF, CFA, or a similar designation.
- Knowledge of loss cost, relativity-based pricing, hedging, economic scenario generation, catastrophe risk, credit risk, asset-liability management, or portfolio risk assessment.
Culture & Benefits
- Remote work within the lower 48 U.S. states.
- Collaborative and agile work environment with cross-functional partnership.
- Medical, dental, and vision insurance, life insurance, and short- and long-term disability coverage.
- Paid time off, nine paid holidays, Lifetime paid time off, and Unity Day paid time off.
- 401(k) with company match and a company-paid pension plan.
- Exempt position in a normal office environment.
Hiring process
- Applications are anticipated to be accepted until September 3, 2026, subject to earlier closure.
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