Actuarial Specialist - Commercial Pricing Modeler REMOTE
Nationwide Insurance, Phila, Pennsylvania, United States
Employer Industry: Insurance and Financial Services
Why consider this job opportunity:
Salary up to $164,000
Opportunity for career advancement and growth within the organization
Flexible remote work options available
Comprehensive benefits package including medical, dental, vision, and a company-paid pension plan
Supportive and collaborative work culture that fosters innovation
Minimum of 18 days paid time off each year, pro-rated quarterly based on hire date
What to Expect (Job Responsibilities):
Research and implement actuarial, data science, statistical, and machine learning techniques for business applications
Contribute to pricing modeling processes, ensuring industry standards are met
Collaborate with teams to ensure consistent model assumptions and outputs
Review and analyze model output to identify limitations and impacts
Assist in crafting and updating model documentation for rationale and business continuity
What is Required (Qualifications):
Bachelor's degree in actuarial science, economics, statistics, mathematics, analytics, or a related field
Minimum of three years of related work experience in predictive modeling or actuarial functions
Progress toward actuarial credentials (ACAS, FCAS, or similar preferred)
Proficiency in SQL, Python (scikit-learn, pandas) or R, and common software such as Excel and PowerPoint
Strong analytical and problem-solving skills
How to Stand Out (Preferred Qualifications):
Graduate-level studies in a related field
Experience with techniques such as regression, classification, and time series analysis
Familiarity with data visualization tools like Tableau or Power BI
Basic proficiency with statistical software such as R, SAS, Python, or MATLAB
Knowledge of machine learning and statistical techniques applicable to risk modeling
#Insurance #DataAnalysis #CareerGrowth #RemoteWork #ActuarialScience
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Why consider this job opportunity:
Salary up to $164,000
Opportunity for career advancement and growth within the organization
Flexible remote work options available
Comprehensive benefits package including medical, dental, vision, and a company-paid pension plan
Supportive and collaborative work culture that fosters innovation
Minimum of 18 days paid time off each year, pro-rated quarterly based on hire date
What to Expect (Job Responsibilities):
Research and implement actuarial, data science, statistical, and machine learning techniques for business applications
Contribute to pricing modeling processes, ensuring industry standards are met
Collaborate with teams to ensure consistent model assumptions and outputs
Review and analyze model output to identify limitations and impacts
Assist in crafting and updating model documentation for rationale and business continuity
What is Required (Qualifications):
Bachelor's degree in actuarial science, economics, statistics, mathematics, analytics, or a related field
Minimum of three years of related work experience in predictive modeling or actuarial functions
Progress toward actuarial credentials (ACAS, FCAS, or similar preferred)
Proficiency in SQL, Python (scikit-learn, pandas) or R, and common software such as Excel and PowerPoint
Strong analytical and problem-solving skills
How to Stand Out (Preferred Qualifications):
Graduate-level studies in a related field
Experience with techniques such as regression, classification, and time series analysis
Familiarity with data visualization tools like Tableau or Power BI
Basic proficiency with statistical software such as R, SAS, Python, or MATLAB
Knowledge of machine learning and statistical techniques applicable to risk modeling
#Insurance #DataAnalysis #CareerGrowth #RemoteWork #ActuarialScience
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr