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Nationwide · 1 day ago

Specialist, Risk Analytics Researcher (Data Engineering)

Columbus, OH

Full-time

Hybrid

Mid, Senior Level

$88K/yr - $164K/yr

4+ years exp

Nationwide is a company dedicated to delivering extraordinary care to its customers. They are seeking a passionate data professional to join their Finance team, focusing on data collection and validation for catastrophe risk management. The role involves collaborating with business partners and applying advanced data techniques to drive business outcomes.

BankingFinancial ServicesInsuranceLife Insurance

No H1B

Responsibilities

Assists in the research and implementation of financial engineering, data science and statistical techniques for risk management and business applications

Supports regular testing of risk limits to provide management guidance on asset allocation, risk transfer and product growth decisions

Aids with quantitative modeling processes. Understands industry standards and identifies 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 impacts

Assists in crafting and updating model documentation for rationale, assumptions and business continuity purposes

Applies expertise to develop creative solutions to business problems

Acts as the technology lead for risk analytics

Qualification

SQLPythonRDatabricksSnowflakePower BIMS SQL ServerAWSTableauAdvanced ExcelWillingness to learnProperty underwriting knowledgeCommunication skillsOrganizational skillsAttention to detailTeamwork

Required

4+ years of data experience, with either: SQL, Python, and R

4+ years of experience, using tools: Databricks, Snowflake, MS SQL Server, and AWS

Understanding of reporting tools like Tableau, Power BI, or Advanced Excel skills

The ability to take data and turn it into actionable information

Strong organizational skills, acute attention to detail

Ability to work in a fast-paced team environment

Solid communication, people interaction, with self-starter skills

Willingness to partner with the business and other technology professionals to understand business needs and outcomes

Familiarity with property underwriting and/or insurance background

Most importantly, a willingness to learn new skills and grow within our organization

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

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

Knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling

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

Experience with risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc

Proficient written and verbal communication skills

Basic proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB

Preferred

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

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

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

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