Quantitative Strategist II

Pacific Life•Newport Beach, CA

4d•$167,670 - $204,930•Hybrid

About The Position

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We are actively seeking a talented Quantitative Strategist II to join our Enterprise ALM Hedging team. This role is on-site 4 days per week and work from home 1 day per week in Newport Beach, CA. If you are not currently located near one of our offices, we offer comprehensive relocation assistance. As a Quantitative Strategist II you will move Pacific Life, and your career, forward by developing and owning the quantitative modeling framework used to measure, price, and hedge option-like risks embedded in insurance liabilities. You will play a lead role in providing creative vision and innovation for sophisticated hedge programs. You will fill a new role that sits within Pacific Life's Enterprise ALM team and partner with a variety of stakeholders, including derivative investments, derivative operations, finance, and product development.

Requirements

Master's degree with 6 years of progressive professional experience in the financial services industry, including 5+ years developing quantitative strategies, managing asset/liability risks, or managing/structuring a book of complex exotic derivatives
Advanced knowledge of financial mathematics with a solid understanding of stochastic calculus, derivative pricing theory, and their practical applications to hedging insurance liabilities
Demonstrated ability to perform and elevate others in a team environment
Hands-on experience developing risk-neutral or real-world valuation models and accompanying Greeks for embedded options in insurance liabilities (e.g., RILA, FIA, IUL) or comparable structured/derivative products
Strong programming/quantitative modeling skills (e.g., Python or similar) and familiarity with model governance, validation, and documentation standards

Nice To Haves

Advanced degree strongly desired — Master’s in Quantitative Finance or a related field (Mathematics, Statistics, etc.)
Proven ability to work on a team and to collaborate effectively with others
Capable of solving unique and complex problems that have a broad business impact

Responsibilities

Monitor and analyze risk exposures on a day-to-day and long-term basis, recommending actions that reduce risk, including the development or enhancement of hedging strategies
Develop and own asset valuation models for options embedded in insurance liabilities, including for derivative-linked crediting strategies supporting RILA, FIA, and IUL
Develop and maintain pricing, Greeks, and stress sensitivities for both asset and liability positions needed for hedge construction and monitoring
Manage and support relationships with third-party asset valuation vendors, including oversight and validation of model assumptions, methodologies, and output
Support daily and periodic hedge operations by producing, validating, and explaining liability and asset sensitivities, recommended hedge positions, and changes in exposure caused by market movements and model updates
Partner with derivative trading and operations teams to ensure model outputs can be translated into practical hedge actions, portfolio monitoring, and operational controls
Partner with product development teams to evaluate new product features from a hedge ability and risk transfer perspective, including the impact on option cost, basis risk, and earnings volatility
Design and enhance quantitative methodologies for hedge strategy development, including proxy modeling and analysis of basis risk between liabilities and available hedge instruments