Role Description Join our dynamic team as a Senior Actuarial Consultant specializing in Personal Lines Pricing. This pivotal role involves owning pricing decisions for complex states and collaborating closely with business partners. This is a key member of our leadership team, driving a partnership-driven approach. Key Responsibilities - Lead pricing decisions for complex states, ensuring alignment with business objectives. - Serve as a technical expert in actuarial methodologies, conducting comprehensive analyses. - Develop and implement cross-functional work plans, leading peer reviews to ensure quality and accuracy. - Engage with business partners to assess and enhance technical abilities and communication skills. - Acts as a technical expert of actuarial methodologies allowing the ability to source and manipulate data within standard requirements. - Conducts complex analyses, adhering to actuarial standards, by selecting appropriate data sources, making assumptions, recognizing considerations, and developing recommendations. - Accurately documents assumptions, methods, sources, and considerations in an organized fashion. - Prepares and presents actuarial findings and documents suitable for technical and non-technical audiences at the senior Actuarial leadership level. - Develops cross-functional work plans and ensures accurate work product is delivered. - Leads cross-functional peer reviews to increase collaboration, ensure quality work, and drive innovation. - Builds business relationships and leads cross-functional communication with team members, customers, and business partners. - Leads onboarding and training for new associates on standard work processes. - Applies data mining techniques used to identify new relationships in data and make recommendations based on findings. - May perform other responsibilities as assigned. Qualifications - ACAS is required; candidates with or working towards FCAS are preferred. - Minimum of six years of actuarial experience, with a strong background in pricing and product line knowledge. - Proficiency in SQL, Python, Snowflake, and Databricks is preferred. - Demonstrated ability to adapt to a fast-paced environment and manage changing priorities effectively. - Undergraduate degree in actuarial science, mathematics, statistics, data science or similar background requiring modeling, programming or quantitative analysis. - Generally attained ACAS and is working towards FCAS or recently attained FCAS. - Detailed knowledge of actuarial business functions, statistical methods of analysis, actuarial models, actuarial software and databases. - Proficient in Microsoft Office products, analytical software and programming languages. Requirements - Six or more years of actuarial experience. - Ability to work independently and lead others. - Highly-developed competencies in business understanding, problem solving, customer focus, dealing with ambiguity, drive for results, and learning ability. Benefits - Medical/dental/vision coverage. - Life insurance, short and long term disability coverage. - Paid time off with a minimum of 18 days paid time off each full calendar year, pro-rated quarterly based on hire date. - Nine paid holidays. - 8 hours of Lifetime paid time off. - 8 hours of Unity Day paid time off. - 401(k) with company match. - Company-paid pension plan. - Business casual attire.

Role Description The Actuary, Analytics/Forecasting analyzes and forecasts financial, economic, and other data to provide accurate and timely information for strategic and operational decisions. You will: - Establish metrics and provide data analyses to support business intelligence. - Evaluate industry, economic, financial, and market trends to forecast the organization's financial and competitive position. - Work on problems of diverse scope and complexity ranging from moderate to substantial. - Report to the Director, Actuarial Analytics/Forecasting with no direct reports. The Value-Based Care Infrastructure Actuary will: - Support the design, implementation, and management of vended complex value-based care initiatives. - Focus on contracting, implementation, data analysis, and actuarial modeling of value-based care performance expectations. - Collaborate with cross-functional teams to ensure alignment with organizational goals in value-based care. The Actuary, Analytics/Forecasting ensures data integrity by: - Developing and executing necessary processes and controls around the flow of data. - Collaborating with stakeholders to understand business needs/issues and troubleshoot problems. - Conducting root cause analysis and developing cost-effective resolutions for data anomalies. - Advising leaders to develop functional strategies on significant matters. - Making decisions on complex issues regarding job responsibilities and related tasks. - Analyzing variable factors to determine the best course of action. Qualifications - Bachelor's Degree - FSA or ASA plus relevant advanced degree, recent and relevant work experience, and/or other relevant professional designations - MAAA - Demonstrated ability to articulate ideas effectively in both written and oral forms - Experience in more than two functions (e.g., modeling, pricing, rate filing, reporting & analysis, reserving or trending) Requirements - Experience with complex value-based arrangements - Experience with opportunity analysis - Experience in modeling forecasting scenarios - Strong collaborative background - Experience in communicating highly technical concepts to non-technical audiences Benefits - Competitive benefits that support whole-person well-being. - Medical, dental, and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance and many other opportunities. Additional Information - This is a remote position. - Work at Home Requirements: Minimum download speed of 25 Mbps and upload speed of 10 Mbps required; wired cable or DSL connection suggested. - Occasional travel to Humana's offices for training or meetings may be required. - Scheduled Weekly Hours: 40 - Pay Range: $129,300 - $177,800 per year, eligible for a bonus incentive plan based on performance.

• Oversee all post-acute network management analytics in a specific area of CenterWell • Build an alternative payment model for post-acute care • Ensure data integrity by developing necessary processes and controls around the flow of data • Collaborate with partners to understand needs/issues, troubleshoot problems, conduct root cause analysis, and develop cost-effective resolutions for data anomalies • Advise executives on developing functional strategies on matters of significance • Analyze variable factors and determine the best course of action

• Lead and execute independent model validations and reviews, primarily focused on actuarial models with secondary responsibility for investment and AI/ML models. • Independently assess model assumptions, methodologies, limitations, and outputs to challenge model accuracy, reliability, and appropriateness. • Evaluate model controls and supporting documentation to ensure compliance with internal standards and regulatory expectations. • Develop and execute testing plans to confirm models are functioning as intended and producing accurate results. • Provide guidance to model owners and development teams on modeling best practices, controls, and model risk mitigation strategies. • Track, monitor, and oversee remediation of issues and findings identified through model validation activities. • Prepare comprehensive validation reports and present findings, recommendations, and conclusions to governance committees and key stakeholders. • Support the ongoing enhancement of Voya’s Model Risk Management Framework, including policies, standards, and procedures. • Partner with model owners, business units, Internal Audit, Compliance, and IT teams to facilitate timely and effective model validations. • Participate in the Actuarial Student Rotation Program. • Build strong working relationships and collaborate effectively across cross-functional teams. • Perform additional duties and responsibilities as assigned.