Pacific Life needs to architect, advise, and deliver robust, data-centric solutions that drive critical analytics, modeling, and reporting across asset management, investment risk, and economic scenario generation domains to support policyholders' financial needs.
Requirements
- Minimum of 15 + years of progressive experience in software engineering, with at least 10 years in financial services, asset management, investments, or investment risk analytics.
- Demonstrated experience in finance quant development supporting and working closely with investment and risk quantitative analysts with minimum direction and building portfolio tools.
- Demonstrated experience with mathematical modeling concepts and proficiency in portfolio tools, such as Bloomberg, Yield Book, Aladdin, and investment systems including trade entry, deep understanding of investment data and systems.
- Deep understanding of software engineering best practices and SDLC processes, including version control (Git), testing, and agile methodologies.
- Proven track record in designing and developing RESTful APIs and web applications using modern frameworks (e.g., React, Angular, .NET, or similar).
- Advanced proficiency in cloud platforms (AWS preferred) and experience with infrastructure automation tools like Terraform and Azure Pipelines.
- Expertise in data platforms such as Snowflake and SQL-based data access patterns.
Responsibilities
- Architect, design, and maintain advanced software systems supporting investment risk analytics, economic scenario generation, stress testing, and portfolio analysis.
- Advise and collaborate with product managers, analysts, engineers, and senior leadership to translate complex business requirements into scalable technical solutions.
- Champion SDLC best practices, including secure coding standards, peer reviews, and documentation, ensuring auditability, maintainability, and regulatory compliance.
- Provide technical leadership and mentorship to business-side developers and engineering teams, promoting consistency, reusability, and adherence to enterprise architecture standards.
- Drive software delivery using modern DevOps practices, including CI/CD pipelines, infrastructure as code, and automated testing.
- Lead the architecture and evolution of cloud-native platforms leveraging Snowflake for scalable data warehousing and analytics, Matillion for data transformation and orchestration, SQL and Python for data processing and business logic, AWS for cloud infrastructure and services, and React.js for building interactive data-driven user interfaces.
- Ensure high standards of code quality, performance, and security across all layers of the application stack.
Other
- This role is on-site in our Newport Beach, CA office.
- Serve as a strategic partner to business and technology stakeholders, providing deep expertise in financial systems, investment risk analytics, and economic scenario modeling.
- Excellent communication skills with the ability to translate complex technical concepts into business value for senior stakeholders.
- Demonstrated ability to work independently and collaboratively in a fast-paced, agile environment.
- In-depth knowledge of key risk concepts such as stress testing, scenario modeling, and investment risk analytics.
