As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey!
This position will be staffed at the F band. Strong Microsoft Excel skills are required. SQL and Python experience is highly preferred.
Job Description Summary
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. At Nationwide, 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.
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As a Researcher Specialist, 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 expert in Nationwide’s risks. It’s imperative that you are familiar with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.
Job Description
Key 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.
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, three or more years of related work experience in financial risk modeling or actuarial functions.
Knowledge, Abilities and Skills: 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.
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.