Bachelor’s degree in Actuarial Science, Computer Science, Engineering, or a related field
FSA designation required
Proficiency with Prophet Professional and Prophet Enterprise
Proven experience collaborating with IT, transformation teams, and cross-functional stakeholders
Strong understanding of actuarial modeling, financial reporting, and regulatory requirements
Detail-oriented mindset with a focus on quality assurance
Excellent problem-solving skills, with the ability to think strategically and innovate
Effective communication skills, with the ability to explain technical concepts to coders, actuaries, and non-technical audiences
What makes you stand out
Strong background in model architecture and design
Proficiency in C#, Python, SQL, or other programming languages, with experience in object-oriented design and test-driven development
Experience with Azure DevOps, JIRA, Azure pipelines, Git, Snowflake, and AWS
Modeling experience with Life (Term, UL, VUL, IUL), Annuity (VA, RILA, FA, FIA), Institutional (PRT, HSA, FAB, DCLI), and Workforce Benefits (Vision, Dental, Group Life) products
Responsibilities
Maintain systems and perform development, testing, and debugging of pricing models, focusing on Pension Risk Transfer
Peer review changes made by other developers and act as an internal modeling expert for colleagues
Collaborate with model users to define requirements and deliver accurate, reliable, and effective solutions
Proactively evaluate and recommend modeling strategies and approaches to address business needs
Support pricing and research actuaries in competition analysis, profit studies, product management, and speed to market
Educate model users on new model features
Troubleshoot and investigate pricing models and related processes, including reconciliation as necessary
Collaborate with other modeling teams on methodology and technology; validate pricing models against those used in other areas (e.g., Valuation, ALM) for consistency
Apply CI/CD and Agile methodologies to model development
Support and comply with all Model Risk Management initiatives, documentation, and standards