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Jobs/Senior Data Scientist Role/Aledade - Senior Actuarial Analyst
Aledade

Aledade - Senior Actuarial Analyst

Washington DC1w ago
In OfficeSeniorNAArtificial IntelligenceSenior Data ScientistJunior AnalystFinancial Quantitative AnalystReportingSQLPythonDocumentationQuality Assurance

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Requirements

• Bachelor's degree with 2-4 years of actuarial or related experience • Two SOA exams toward the ASA credential • Experience with actuarial analysis and model building • Experience with health care data sources such as medical claims, membership, and risk scores • Preferred KSA’s • Bachelor’s degree in statistics, mathematics or computer science • 3-4 SOA components toward the ASA credential • Experience with SQL for data manipulation and R, Python, or Stata for statistical programming • Demonstrated ability to conduct nuanced analyses to produce accurate and unbiased results and tell the story of those results in data visualizations, presentations, and reports. • Attention to detail, quality assurance, documentation, and building repeatable processes • Knowledge of standard methods for measuring health care utilization, spending, quality, and related outcomes • Ability to thrive in a fast-paced environment and manage competing deadlines and priorities. • Committed to serving teammates and patients with empathy and respect • Thinks beyond their immediate team and contributes to making Aledade holistically better (active engagement in employee resource groups, DE&I initiatives, book/journal clubs, facilitating training, leading roundtables, etc.) • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. • We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Responsibilities

• Understand the problem space: Work with teams across Aledade to understand and clarify questions and issues for data analysis. • Data extraction and validation: extract, validate, and incorporate data from diverse data sources into actuarial models and analyses. • Design and execute actuarial analysis: Design actuarial analyses and build actuarial models to answer key business questions and generate actionable insights and solutions. • Assist in translating and communicating analysis results: Work with one’s manager and other teams across Aledade to synthesize results, identify implications, and translate findings into action.

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