Consultant, Catastrophe Modeling Risk Analytics

This position would be on the Catastrophe Modeling team within the Enterprise Catastrophe Risk Management organization. Cat modelers leverage catastrophe models for natural hazards to develop catastrophe information critical to a variety of enterprise activities, including strategic portfolio planning, financial forecasting, and insurance pricing. This role would provide risk analytics to deliver modeled catastrophe insights to a variety of business partners in their pursuit of ratemaking, underwriting, product management, and risk management.

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Required: Strong excel and SQL skills. General computer programming skills with a preference for Python, C#, and VBA. Very large data manipulation experience.

Preferred: Experience with Databricks and Tableau. Cat modeling experience, PML calculation understanding. Good with creating leadership level presentations. Good organizational skills. Good communication skills.

This position will be staffed at the G band.

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Job Description Summary

Do you have the desire to play a critical role in driving data-based business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce accepts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics professionals play a key role in transforming quantitative data analysis into meaningful insights that drive business results. Specifically, they serve as the conduit joining quantitative risk analysts to business partners.

As a Consultant, you'll be responsible for the creation and management of risk analytics projects to solve business problems and achieve objectives. You’ll work consultatively with your leadership and business partners to match quantitative analysis with business needs. We’ll count on you to be the key point of contact linking business goals to technical research. It’s imperative that you have both a working knowledge of quantitative analytics and a clear understanding of business needs. You will need to confident articulating solutions to many levels of leadership.

Job Description

Key Responsibilities: 

• Understands and assesses key business needs and responsible for developing the appropriate quantitative modeling solutions to these needs.

• Collaborates with departments across the organization or business functions to accomplish strategic goals, objectives, and initiatives.

• Builds risk analytic strategies for business problems through collaborating, consulting, and driving expectations.

• Collaborates with teams across the enterprise to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld throughout the organization.

• Crafts clear and concise summaries of findings and recommendations. Uses impactful storylines and data visualization geared to both technical and non-technical audiences.

• Develops, tests, implements and administers complex quantitative modeling processes and tools.

• Evaluates and ranks quantitative solutions to business problems.

• Communicates the key benefits and limitations of sophisticated modeling tools for business applications. 

• Works across teams to ensure governance of modeling tools are applied consistently.

May perform other responsibilities as assigned. 

Reporting Relationships: Reports to Risk/Actuarial leader. 

Typical Skills and Experiences:

Education: 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. 

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, seven or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and Skills: Proven knowledge of processes and functions spanning the insurance and risk management cycle. Understands machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Confirmed mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Advanced understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Strong communication and presentation skills. Advanced proficiency with Excel and Powerpoint. 

Other criteria, including leadership skills, competencies and experiences may take precedence. 

Staffing exceptions to the above must be approved by the hiring manager’s leader and Human Resources Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.