Predictive Modeler – P&C Commercial Actuarial Consultant - REMOTE

Nationwide•Columbus, OH

1d•$118,000 - $222,000•Remote

About The Position

As a Predictive Modeler on our Commercial Modeling team, you will play a crucial role in developing and maintaining predictive models that drive our commercial pricing strategies. This position offers a unique blend of data science and actuarial responsibilities, providing an exciting opportunity to work on innovative projects and collaborate with a diverse team of professionals. Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering. As a Consultant, you’ll work on projects associated with the design, development, and application of unique risk models. You’ll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter authority in Nationwide’s risks. It’s imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Requirements

Strong coding skills in R, Python, or SQL, with a solid understanding of data science techniques and actuarial concepts.
Excellent analytical and problem-solving abilities, with experience in financial risk modeling or actuarial functions.
Undergraduate studies in finance, accounting, economics, statistics, mathematics, or related fields.
Ability to work effectively in a team setting, with strong written and verbal communication skills.
Willingness to learn and adapt quickly, with a proactive approach to continuous improvement.
Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required.
Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling.
Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc.
Proficient written and verbal communication skills.
Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.

Nice To Haves

Graduate-level studies and progress toward actuarial certifications (e.g., ACAS, FCAS) are preferred.
Graduate-level studies in a related field with advanced degree highly desirable.
Progress toward FCAS, FSA, CQF, CFA or similar preferred.
Typically, five or more years of related work experience in financial risk modeling or actuarial functions.
Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc.

Responsibilities

Engage in both new model builds and enhancements of existing models, ensuring they meet business needs and industry standards.
Utilize your coding skills in R, Python, or SQL to develop and maintain complex quantitative models.
Work closely with team members and business partners across the finance organization to develop creative solutions to business problems.
Implement financial engineering, data science, and statistical techniques for risk management and business applications.
Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
Owns complex quantitative modeling processes and philosophies.
Identifies industry standards to understand if models are working as intended.
Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
Reviews and analyzes model output to identify model limitations and their impact.
Provides corrective quantitative methods.
Crafts and updates model documentation for business continuity purposes.
Acts as the technology owner for Risk Analytics.
May perform other responsibilities as assigned.

Benefits

medical/dental/vision
life insurance
short and long term disability coverage
paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
company-paid pension plan
business casual attire