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Nationwide · 1 month ago

Consultant, Risk Analytics Researcher

United States

Full-time

Remote

Senior Level

5+ years exp

Nationwide is a leading insurance and financial services company that is passionate about delivering extraordinary care to its customers. They are seeking a Consultant, Risk Analytics Researcher to apply machine learning and statistical techniques to catastrophe risk modeling, supporting the development of predictive models using large datasets and contributing to hybrid modeling approaches.

BankingFinancial ServicesInsuranceLife Insurance

No H1B

Responsibilities

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

Qualification

R programmingMachine learning algorithmsGeospatial data analysisRelational databases (SQL)Statistical modelingPredictive analyticsFinancial risk modelingIndependent researchCommunication skillsCollaboration

Required

Strong programming in R and/or for data science workflows

Experience with machine learning algorithms such as: Random Forests, Regression models (linear, logistic, etc.), Mixed-effects modeling for hierarchical data structures

Ability to work with large-scale datasets, including climate/weather and insurance data

Geospatial data analysis experience (e.g., GIS tools, spatial joins, raster/vector data)

Solid understanding of relational databases (SQL)

Knowledge of statistical modeling and predictive analytics

Master's degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or related field

Demonstrated ability to conduct independent research and publish findings

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

Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required

Preferred

Familiarity with catastrophe modeling platforms (Verisk, RMS) is highly desirable

Exposure to insurance or financial risk modeling is desirable

Graduate-level studies in a related field with advanced degree highly desirable

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

Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc

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

And more.

Company

Nationwide

Glassdoor3.9

Nationwide, a Fortune 100 company based in Columbus, Ohio, is one of the largest and strongest diversified insurance and financial services organizations in the United States.

Founded in 1925

Columbus, Ohio, USA

10001+ employees