Associate Actuarial – Analytics/Forecasting

🕒 September 16

🐎 Kentucky – Remote

🐎 Kentucky – Remote

💵 $106.9k - $147k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Actuary

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 37%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Analyze financial, economic, and market data to support forecasting and business decisions • Develop and maintain metrics, reporting, and analytical models to support business intelligence • Evaluate industry, economic, financial, and competitive trends affecting organizational performance • Build, enhance, and support actuarial and forecasting models used in financial analysis • Work primarily in Databricks to develop Net Present Valuation models for Medicare Supplement, Dental & Vision, and Medicaid • Ensure data integrity by establishing and executing processes and controls around data flow and quality • Investigate data anomalies, perform root cause analysis, and implement practical, cost-effective solutions • Collaborate with cross-functional partners to understand business needs, resolve model issues, and improve outcomes • Identify opportunities to improve model performance, accuracy, and efficiency • Independently manage moderately complex to complex assignments and determine appropriate technical approaches • Contribute analytical insight that helps influence departmental strategy and forecasting practices • Report directly to the Actuary, Analytics/Forecasting • Work typical business hours Monday-Friday, 8am-5pm, with possible flexibility based on business needs

🎯 Requirements

• Bachelor's Degree • Associate of Society of Actuaries (ASA) designation • Meets eligibility requirements for Humana's Actuarial Professional Development Program (APDP) • Member of the American Academy of Actuaries (MAAA) • Strong written and verbal professional communication skills • Passion for contributing to an organization focused on continuously improving consumer experiences • Sponsorship is not available for this role • Advanced experience using SQL or SAS to analyze, manage and interpret complex data sets and models • Strong model building skills • Familiarity with Python or Oracle • Minimum download speed of 25 Mbps and upload speed of 10 Mbps for home or hybrid home/office employees • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Bonus incentive plan based on company and/or individual performance • Medical, dental and vision benefits • 401(k) retirement savings plan • Paid time off • Company and personal holidays • Paid parental and caregiver leave • Short-term and long-term disability • Life insurance • Work-from-home arrangement • Occasional travel to Humana offices for training or meetings • On-demand interview assessment via HireVue • Home internet requirements and dedicated workspace support for home or hybrid employees

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