Actuarial Technical Consultant – Personal Lines Pricing - REMOTE

Nationwide Mutual Insurance•Columbus, OH

1d•Remote

About The Position

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. We are seeking a highly skilled Actuarial Technical Consultant to join our personal lines pricing team. This role is crucial in supporting the pricing function by conducting state product reviews, providing risk segmentation and pricing recommendations, and assessing rate adequacy to promote financial success. The ideal candidate will bring new perspectives and innovative ideas to continue delivering high-level actuarial services to our business partners. Our Property and Casualty (P&C) Actuarial team members have opportunities to use state-of-the-art tools, are encouraged to innovate and learn to master actuarial methodologies. If this sounds like a place you could thrive, then we want to know more about you! As a Technical Consultant, you’ll be an actuarial technical expert for planning, driving, communicating and executing projects that may impact multiple lines of business and/or administrative areas. Additionally, you will provide expertise, including consultation and recommendations, for ratemaking or reserving purposes.

Requirements

Strong foundation in actuarial science and mathematics.
Skills in velocity, agility, critical thinking, and problem-solving.
Experience with Microsoft Excel and PowerPoint.
Undergraduate degree in actuarial science, mathematics, statistics or similar background requiring modeling, programming, or quantitative analysis preferred.
Generally, seven years of related experience in actuarial and statistical support role.
Proven general knowledge of actuarial business functions, statistical methods of analysis, actuarial models, actuarial software and databases.
Proficient in Microsoft Office products, analytical software and programming languages.
Should have basic competencies, including business understanding, problem solving, customer focus, dealing with ambiguity, drive for results and learning ability.

Nice To Haves

Personal Lines experience is highly preferred.
Proficiency in SQL, DataBricks, Python, and R.
Exposure to predictive modeling is a plus.
Post graduate degree preferred

Responsibilities

Conduct state product reviews and assess rate adequacy to ensure financial success.
Enhance rating plans, establish risk segmentation and provide pricing recommendations.
Lead pricing analysis and engagement on our large and complex markets.
Introduce new perspectives and innovative ideas to enhance actuarial services.
Analyze results and present findings to internal product, actuarial, and underwriting teams.
Has in depth knowledge of actuarial methodologies the ability to source and manipulate complex data within standard requirements.
Conducts complex analyses, adhering to actuarial standards, by selecting appropriate data sources, making assumptions, recognizing considerations, and developing recommendations.
Accountable for resolving unreasonable results/non-optimal solutions using experience and professional judgment.
Documents assumptions, methods, sources and considerations in an organized fashion.
Prepares and presents actuarial findings and documents that are suitable for technical and non-technical audiences at the senior Actuarial leadership level.
May professionally represent company's position with regulators, auditors, and external vendors.
Develops work plans and ensures accurate work product is delivered.
Leads peer reviews to increase collaboration, ensure quality work and drive innovation.
Applies data mining techniques used to identify new relationships in data and makes recommendations based on findings.
Builds and validates models in different software packages.
Explores the use of new software packages.
Has practical use of predictive modeling.
May perform other responsibilities as assigned.