BA/UAT Analyst – Actuarial
Listed on 2026-06-25
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Finance & Banking
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IT/Tech
Data Analyst
- Location 11001 Lakeline Blvd,Ste 120,Austin, TX, 78717,United States
- Base Pay $63,825.00 - $80,000.00 / Year
- Employee Type FT Exempt
- Manage Others No
Looking tojoin a growing company dedicated to helping others? We offer that, plus competitive salaries,a culture of learning, and a fast-paced environment. This is a hybrid position with 3 days in-office. Join our team to help make a difference in the lives of others!
About Continental GeneralThe Continental General family of companies has provided insurance, including life and long-term care policies, to individuals and groups for over 30 years, and currently supports over 100,000 policyholders. Both our insurance company, Continental General Insurance Company, and our third-party administrator, Continental General Services, are committed to the continuous development of our infrastructure, processes, and people. The group is actively growing through expansion of both its insurance portfolio and its administrative services.
With each opportunity, we take a collaborative approach to address challenges and provide unique solutions.
We are seeking a proactive and detail-oriented UAT Analyst to support technology initiatives within the Actuarial Department. This role focuses on User Acceptance Testing (UAT) for actuarial systems, models, and data-driven solutions used in insurance product development, valuation, forecasting, and financial reporting.
The UAT Analyst works closely with actuarial stakeholders, business analysts, developers, and QA teams to ensure system changes accurately reflect actuarial requirements, assumptions, calculations, and regulatory expectations. This role supports Agile delivery efforts and plays a key role in validating that actuarial solutions meet both technical and business needs prior to production release.
Key Responsibilities User Acceptance Testing & Validation- Develop, execute, and maintain UAT plans, test cases, and test scripts for actuarial systems, models, and data workflows.
- Validate actuarial business requirements, calculations, and assumptions against system functionality and outputs.
- Analyze test results to ensure accuracy, consistency, and alignment with actuarial methodologies and business objectives.
- Collaborate with actuaries, business analysts, developers, and QA teams to identify, document, and resolve defects or discrepancies.
- Support defect triage discussions by providing clear testing evidence and impact analysis.
- Coordinate testing activities across multiple projects and releases, managing competing priorities while maintaining quality standards.
- Document UAT results, test evidence, and outcomes, providing clear feedback to stakeholders.
- Maintain UAT documentation, logs, and artifacts to support audit, compliance, and regulatory review requirements.
- Provide regular project and testing status updates to actuarial and delivery leadership.
- Facilitate UAT sessions with actuarial users and coordinate testing schedules and environments.
- Support go/no-go decisions for production releases by ensuring actuarial functionality has been thoroughly validated.
- Maintain a strong end-user focus, ensuring testing reflects real-world actuarial use cases and scenarios.
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Computer Science, Information Systems, or a related field preferred; or equivalent years of experience.
- 2+ years of experience in UAT, QA, business analysis, or system testing, preferably within the insurance or financial services industry.
- Experience supporting actuarial, financial, or data-intensive systems is strongly preferred.
- Understanding of insurance operations and actuarial concepts such as pricing, valuation, reserves, forecasting, or financial reporting.
- Ability to interpret actuarial and business requirements and translate them into effective test scenarios.
- Proficiency with testing and work-management tools such as JIRA, Zephyr, Excel, and test management platforms.
- Familiarity with manual testing methodologies;…
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