Overview: We are seeking an Actuarial Data Engineer to join our Actuarial Assumption and Consulting Team. The person will play a crucial role in developing and enhancing data infrastructure that supports actuarial modeling, assumption development, and analytics. The person will collaborate closely with actuaries and IT to build scalable, reliable, and maintainable data solutions, which will enable robust modeling, experience analysis, and business decision making. The ideal candidate shall be located in Cayman Islands however, Connecticut or other remote locations will be considered. Responsibilities: * Collaborate with actuaries, system developers, and other stakeholders to understand data needs, gather business and technical requirements, and deliver efficient data solutions. * Build prototypes of data transformation processes and stored procedures to support actuarial models and analytics. * Design, build, and maintain data pipelines from source systems to actuarial models and from models to business audiences. * Build new experience studies for Retail business and as new deals are onboarded in support of actuarial assumption development. * Opportunistically improve existing experience study and monitoring processes. * Enable advanced analytics by ensuring the availability, reliability, and accessibility of actuarial datasets. * Enhance control frameworks and implement review processes to ensure data quality and consistency. * Optimize data flow and troubleshoot data quality issues as they arise. Qualifications: * Minimum of 5 years of relevant experience in data engineering, actuarial modeling, or related fields within the life insurance and annuity industry. * Strong proficiency with SQL and relational database concepts; familiarity with data engineering tools; ability to build complex queries/procedures and optimize database performance. * Solid understanding of actuarial processes and the types of data used in actuarial modeling (e.g., policyholder data, transaction data, input/output data, cedant data). * Experience working with or integrating actuarial model inputs/outputs (e.g., AXIS) is a plus. * Experience with scripting languages (e.g., Python) or data visualization tools (e.g., Power BI) is a plus. * Ability to work independently and collaboratively in a fast-paced, technical environment; Excellent problem-solving and communication skills.