Actuarial Product Configuration Analyst III

Purpose

We are driven to do more. More for our customers and the financial professionals who offer our products. If you are driven to do more and love the challenge of pursuing more, Athene is your kind of company. You will find we offer more than the basics to create an inclusive and dynamic work environment at our various locations.

Accountabilities

• Configure, maintain, and enhance annuity product rules, workflows, and transactions within ALIP and related administration systems.
• Translate business and product requirements into technical solutions while following established development standards and best practices.
• Develop, test, troubleshoot, and deploy application changes using Agile and DevOps tools (e.g., GitHub, Jenkins) to support reliable software releases.
• Partner with Product, QA, Operations, and Technology teams to deliver high-quality solutions, resolve production issues, and improve system performance.
• Develop automation and process improvements that increase efficiency, enhance data quality, and support policy administration processes.
• Contribute to sprint commitments, peer code reviews, and continuous improvement initiatives while building expertise in annuity products and policy administration.

Qualifications and Experience

• 4+ years of application development, configuration, or systems experience within insurance, financial services, or relevant experience.
• Experience with policy administration systems (ALIP preferred), SQL/database queries, and one or more programming languages such as Java, Python, C++, SQL, XML, or Visual Basic.
• Experience working in Agile environments using tools such as Jira, Confluence, GitHub, or Jenkins.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to troubleshoot technical issues and translate business requirements into system solutions.
• Experience using AI tools to improve productivity, code development, documentation, analysis, and workflow efficiency while applying sound judgment to validate AI-generated outputs.
• Bachelor's degree in Computer Science, Management Information Systems, Mathematics, Statistics, Actuarial Science, or an equivalent combination of education and relevant experience.