Actuarial Associate, Excess Casualty Pricing and Modeling - REMOTE

Nationwide•Columbus, OH

6d•$118,000 - $178,000•Remote

About The Position

Nationwide’s Excess Casualty Lines team is hiring a Pricing Modeler to help shape sophisticated insurance pricing and deliver insights that influence business decisions. This role is ideal for someone who brings strong technical skills and either a solid actuarial foundation, Excess Casualty insurance knowledge, or both. In this position, you will work at the intersection of pricing strategy, actuarial thinking, and predictive analytics. You will partner closely with teammates and business partners to build, enhance, and refine excess casualty insurance pricing. You will also have the opportunity to work across teams on a variety of projects, expand your technical toolkit, and deepen your understanding of how pricing drives real business outcomes. Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? 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

A minimum of five years of actuarial experience.
ACAS certification and working towards FCAS or recently attained FCAS.
Proficiency in Python, R, Power BI, Databricks, SQL, analytical software, and programming languages.
Experience in leading cross-functional teams and developing strategic pricing plans.
Strong analytical skills and the ability to work independently.
Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required.
Graduate-level studies in a related field with advanced degree highly desirable.
Typically, five or more years of related work experience in financial risk modeling or actuarial functions.
Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling.
Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc.
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

Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Responsibilities

Serve as a technical expert in actuarial methodologies, conducting complex analyses and providing high-level consultation.
Build and maintain business relationships, leading pricing and product initiatives.
Partner with business stakeholders to deliver actionable, data-driven insights that inform strategic decisions.
Researches and implements 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.
Collaborates to develop creative solutions to business problems.
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