Description:
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.
What The Day Will Look Like
- Serve as senior technical, code and methodology reviewer for analytics deliverables.
- Utilize your expertise in quantitative analysis/machine learning to build advanced health models.
- Own end to end processes in designing and running complex processes.
- Develop and deliver data-based solutions and measurement methodologies to help clients and carriers measure the effectiveness of medical programs, and related solutions using generally accepted and best practice statistical measurement techniques.
- Develop solutions based on large health claims and risk datasets such as eligibility data, medical claims and prescription drug claims data from multiple different sources, demonstrating deep expertise in risk adjustment and related claims adjustment methodologies.
- Liaison and partner with other senior leaders within Aon’s health care analytics, innovation and specialty practice areas
- Develop validation and quality control methodologies.
- Lead multiple projects and manage timelines, milestones and delivery efficiently.
- Stay up to date on upcoming vendors and startups in the healthcare space in areas such as healthcare navigation, digital health and care delivery.
- Support client teams and analytics & actuarial colleagues with data related requests
Skills And Experience That Will Lead To Success
- Very strong background in a quantitative field such as mathematics, statistics, engineering, actuarial science, computer science or other related fields
- 7+ years’ total experience including commercial health insurance and/or health benefits consulting experience.
- Detailed understanding and experience with medical and pharmacy claims reporting and billing including Diagnostic Coding ICD-10, Procedure Coding (CPT, DRG, ICD-10 PCS) and related industry standards.
- Strong applied statistics skills such as model training and validation, statistical testing
- Expert with Python/R coding
- High performing individual contributor that can mentor junior data scientists.
- Experience in measurement and validation of health care programs including development of financial, utilization, and clinical outcomes metrics.
- Practical experience with developing measurement methodologies, statistical measurement, causal inference methods and related techniques
- Good communication skills, both oral and in writing.
- Good organization and time management skills; ability to work independently.