As a Predictive Modeler on the Commercial Modeling team, you'll play a key role in shaping pricing strategies through advanced quantitative analysis. You will design, validate, and improve predictive models using statistical and financial engineering methods, ensuring they align with business objectives and regulatory expectations.
Key Responsibilities
- Develop and refine predictive models using programming languages such as R, Python, and SQL to support risk assessment and pricing decisions
- Apply data science and statistical techniques—including machine learning, Monte Carlo simulations, and stochastic modeling—to evaluate and manage financial risk
- Collaborate with finance, risk analytics, and actuarial teams to deliver practical, data-driven solutions
- Conduct ongoing model validation, testing risk parameters and assumptions to guide strategic decisions in asset allocation and product development
- Maintain comprehensive model documentation and ensure adherence to standardized methodologies
- Identify limitations in model performance and recommend quantitative improvements
- Lead technical initiatives within Risk Analytics, serving as a primary resource for modeling frameworks and implementation
Qualifications
Candidates should hold a degree in finance, economics, statistics, mathematics, or a related field. Strong coding ability in R, Python, or SQL is essential, along with a working knowledge of statistical modeling and actuarial principles.
- Proven experience with risk modeling techniques such as economic scenario generation, credit risk, or catastrophe modeling
- Familiarity with asset-liability management, hedging strategies, and portfolio risk assessment
- Intermediate proficiency in Excel and statistical software including SAS, MATLAB, or similar tools
- Excellent written and verbal communication skills to convey technical findings to non-technical stakeholders
Preferred Background
- Graduate-level education in a quantitative discipline
- Progress toward actuarial credentials (e.g., FCAS, ACAS) or professional certifications such as CFA, CQF, or FSA
- Five or more years of experience in actuarial science, financial risk modeling, or a related quantitative function
Work Environment
This position supports a hybrid model with office locations in Columbus, OH; Des Moines, IA; and Scottsdale, AZ. Remote work is available for candidates in the continental United States. The role operates in a business casual, agile setting that values collaboration, innovation, and inclusion.
Compensation & Benefits
The expected starting salary range is $118,000 – $178,000, with placement based on experience, skills, and market factors. The national range extends to $222,000. Benefits include medical, dental, and vision coverage; life and disability insurance; a 401(k) with company match; a company-paid pension; and generous paid time off, including holiday and personal leave. The organization is an equal opportunity employer committed to diversity, equity, and a respectful workplace free from discrimination and harassment.
