Actuary Prophet Developer

Job Description:

Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating a superior customer experience.

Our Actuary Prophet Developers are pivotal in the architecture, design, and strategic direction of Prophet models within our organization. We’ll rely on you to lead development and peer review changes made by other developers and act as an internal Prophet expert for your colleagues. These roles collaborate closely with internal model developers, IT, and transformation teams to ensure the seamless integration, scalability, and efficiency of actuarial models.

Their expertise will drive innovation, optimize model performance, and ensure alignment with business objectives.

Are you interested in being part of a critical team that is highly valued across the organization? If so, we are looking to build on our already strong team of Actuary Prophet Developers in 2025. If this is an opportunity that you are interested in learning more about, we invite you to click APPLY today to be considered for current and future openings.

How you could make an impact:

• Lead and perform model development for immediate and deferred annuity, variable annuity, life, institutional, and workforce benefit products.
• Perform model development and testing/debugging of Prophet models, peer review changes made by other team members, and act as an internal Prophet expert for your colleagues.
• Proactively evaluate and recommend modeling strategies and potential approaches to find solutions that best address business needs.
• Lead model development initiatives that improve and expand existing models.
• Partner with IT and functional areas to develop simple, effective, and innovative solutions to simplify modeling processes.
• Provide training to model users to ease the learning curve and further develop training materials, tools, and templates based on the model risk management policy and standards.
• Provide guidance and expertise to junior staff on methodology, model implementation, and testing/debugging to support modeling initiatives.
• Support and comply with all Model Risk Management initiatives, documentation, and standards.

Qualifications:

• Bachelor’s degree in Actuarial Science, Computer Science, Engineering, or a related field.
• FSA or ASA designation is required.
• Extensive experience in Prophet model development.
• Proven experience in collaborating with IT, transformation teams, and other cross-functional stakeholders.
• Strong understanding of actuarial modeling, financial reporting, and regulatory requirements.
• Proficiency in Prophet and related actuarial software, as well as familiarity with cloud-based technologies and modern development tools.
• 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, actuarial, and non-technical audiences.

What will make you stand out:

• Strong background in model architecture and design.
• Demonstrated interest in production model architecture and automation.
• Excellent communication and leadership skills, with the ability to mentor and guide teams.
• Experience working with Azure Dev Ops, JIRA, Azure pipelines, Git, Snowflake, and AWS.
• Familiarity with Python, R, MATLAB, Tableau, SQL, Essbase, Neural Net models, and cloud computing.
• Modeling experience with Life (Term, UL, VUL, IUL, etc.), Annuity (VA, RILA, FA, FIA, etc.), Institutional (PRT, HSA, FAB, DCLI), and Workforce Benefits (Vision, Dental, Group Life, etc.) products.
• Knowledge of predictive analytics.

The recruiting process:

• All resumes will go through an initial review.
• Selected candidates will be notified via email regarding next steps.

Compensation:

• Competitive compensation packages are based on your experience and location.
• The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location.…