Actuarial Analyst, Senior

Blue Shield of California • Oakland, CA

2d

About The Position

Your Role The Network & Trend Analytics (NTA) team provides analytical and strategic support for BSC provider contract negotiations and performance management in collaboration with other departments. Our work is essential for us to fulfill our mission. The Actuarial Analyst, Senior will report to the Actuarial Analyst, Principal. In this role you will develop actuarial models to support contract negotiations, perform benchmarking studies, work on presentations for strategic meetings for senior executives as well as meet other business needs. Responsibilities Your Work In this role, you will: Understand the core principles and functionality of decision, descriptive and predictive analytic methods including forecasting, statistical and machine learning techniques Conduct and develop analysis, assess risk and population risk scores and assignment, develop pricing and trends, assess changes in benefit designs, develop reserves, perform forecasting, analyze provider reimbursement terms and/or evaluates actuarial risk related analysis Coordinate, prepare, perform and audit actuarial analyses to assist in the development of complex actuarial formulations leading to the recommendation of pricing, trending, reserving, provider reimbursement and/or risk assessment strategies Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploys predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies Develop evaluation and financial reporting standards for internal and external reports Develop presentations for senior-executive strategic meetings by working with different teams, including performing various actuarial studies using different tools (Excel, SAS, SQL, etc.) Conduct benchmarking, BSC health care spend, price transparency and competitive studies leveraging internal and external data sources Be able to work under a fast-paced organization Qualifications Your Knowledge and Experience Requires a college degree with at least a minor in mathematics, statistics, computer science or equivalent business experience May have an ASA designation or has completed the majority of the courses to complete the ASA designation Requires at least 3 years of professional actuarial experience Requires proficiency with MS Office, including Excel, Word, PowerPoint Preferred: work experience with SQL or SAS Preferred: project management work experience Preferred: work experience with provider contracting analytics

Requirements

• Requires a college degree with at least a minor in mathematics, statistics, computer science or equivalent business experience
• May have an ASA designation or has completed the majority of the courses to complete the ASA designation
• Requires at least 3 years of professional actuarial experience
• Requires proficiency with MS Office, including Excel, Word, PowerPoint

Nice To Haves

• Preferred: work experience with SQL or SAS
• Preferred: project management work experience
• Preferred: work experience with provider contracting analytics

Responsibilities

• Understand the core principles and functionality of decision, descriptive and predictive analytic methods including forecasting, statistical and machine learning techniques
• Conduct and develop analysis, assess risk and population risk scores and assignment, develop pricing and trends, assess changes in benefit designs, develop reserves, perform forecasting, analyze provider reimbursement terms and/or evaluates actuarial risk related analysis
• Coordinate, prepare, perform and audit actuarial analyses to assist in the development of complex actuarial formulations leading to the recommendation of pricing, trending, reserving, provider reimbursement and/or risk assessment strategies
• Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploys predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies
• Develop evaluation and financial reporting standards for internal and external reports
• Develop presentations for senior-executive strategic meetings by working with different teams, including performing various actuarial studies using different tools (Excel, SAS, SQL, etc.)
• Conduct benchmarking, BSC health care spend, price transparency and competitive studies leveraging internal and external data sources
• Be able to work under a fast-paced organization

What This Job Offers

• Career Level: Mid Level