Lead Actuary
To see similar active jobs please follow this link: Remote Finance jobs
YOUR TEAM
Nuna’s product offerings enable delivery of value-based care contracts, at scale across the United States. Value-based healthcare aims to shift reimbursement from fee-for-service to fee-for-value where providers are incentivized to deliver higher quality care to their patients at a lower cost. Today, value-based care is incredibly difficult to operationalize so we’re making it easier with products that enable automated, accurate, and transparent operation of value-based payments.
The Actuarial Team at Nuna supports the development of tools to enable stakeholders to effectively and efficiently evaluate their reimbursement programs.
YOUR OPPORTUNITIES
This is a unique opportunity that operates at the intersection of data, engineering and product teams at a growing health technology company. A successful candidate will leverage their experience to help build cutting edge features in Nuna’s platform that add value for our health plan and provider stakeholders.
In this role, you will:
Help create and extend Nuna’s generalized platform for value based care (VBC) program reporting and supporting analysis tools to deliver valuable insights
Support implementation of customer VBC programs in Nuna’s platform
Connect and articulate VBC Program requirements to data and design needs, often using SQL / Python / Excel to prototype programs and supporting analytic products
Expand cost trend analytics reporting suite and tools to evaluate effectiveness of clinical interventions
Help design and implement tools to evaluate VBC programs and contracts
Leverage actuarial expertise to make recommendations that further Nuna’s platform capabilities such that providers and payers are able to effectively evaluate risk and opportunity
QUALIFICATIONS
Required Qualifications
8+ years of healthcare experience
Value Based Care (VBC) experience
ASA or FSA
Bachelor’s degree or above in quantitative or engineering fields (Statistics, Actuarial Science, Economics, Mathematics or similar)
VBC thought leadership with desire to connect back to and work with supporting data
Ability to “wrangle” data for analysis and prototypes using SQL / Excel
Comfortable operating in start-up environment – can successfully operate with knowledge of goals and effectively manage workload to deliver most value to company
Preferred Qualifications
Python experience for data analysis and modeling
Experience working with data pipelines
Clinical quality experience in the context of VBC
We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $115,000 to $167,500. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.
#LI-NP1 #LI-Remote
About the job
Lead Actuary
To see similar active jobs please follow this link: Remote Finance jobs
YOUR TEAM
Nuna’s product offerings enable delivery of value-based care contracts, at scale across the United States. Value-based healthcare aims to shift reimbursement from fee-for-service to fee-for-value where providers are incentivized to deliver higher quality care to their patients at a lower cost. Today, value-based care is incredibly difficult to operationalize so we’re making it easier with products that enable automated, accurate, and transparent operation of value-based payments.
The Actuarial Team at Nuna supports the development of tools to enable stakeholders to effectively and efficiently evaluate their reimbursement programs.
YOUR OPPORTUNITIES
This is a unique opportunity that operates at the intersection of data, engineering and product teams at a growing health technology company. A successful candidate will leverage their experience to help build cutting edge features in Nuna’s platform that add value for our health plan and provider stakeholders.
In this role, you will:
Help create and extend Nuna’s generalized platform for value based care (VBC) program reporting and supporting analysis tools to deliver valuable insights
Support implementation of customer VBC programs in Nuna’s platform
Connect and articulate VBC Program requirements to data and design needs, often using SQL / Python / Excel to prototype programs and supporting analytic products
Expand cost trend analytics reporting suite and tools to evaluate effectiveness of clinical interventions
Help design and implement tools to evaluate VBC programs and contracts
Leverage actuarial expertise to make recommendations that further Nuna’s platform capabilities such that providers and payers are able to effectively evaluate risk and opportunity
QUALIFICATIONS
Required Qualifications
8+ years of healthcare experience
Value Based Care (VBC) experience
ASA or FSA
Bachelor’s degree or above in quantitative or engineering fields (Statistics, Actuarial Science, Economics, Mathematics or similar)
VBC thought leadership with desire to connect back to and work with supporting data
Ability to “wrangle” data for analysis and prototypes using SQL / Excel
Comfortable operating in start-up environment – can successfully operate with knowledge of goals and effectively manage workload to deliver most value to company
Preferred Qualifications
Python experience for data analysis and modeling
Experience working with data pipelines
Clinical quality experience in the context of VBC
We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $115,000 to $167,500. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.
#LI-NP1 #LI-Remote