Financial Software Engineer

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’re actively seeking a talented programmer to join our Inforce Modeling team within the Enterprise Actuarial Modeling function. This role must be on-site out of our Newport Beach, CA or Omaha, NE office locations. Candidates open to relocating are encouraged to apply.

As a Financial Software Engineer, you’ll move Pacific Life, and your career, forward by leading hedging model development for Pacific Life’s indexed products as well as developing and owning various other company-wide tools utilizing Python, Snowflake, AWS, VBA, Power Shell scripts and others. You will collaborate with Hedging, ALM, Pricing, Valuation, and IT infrastructure teams to provide innovative modeling and reporting capabilities.

You will fill an existing role that sits on a team of fifteen people in the Enterprise Modeling division. Your colleagues will include software and data engineers, data scientists and actuarial professionals.

How you will make an impact:

Work in a modeling role focused on model development for daily hedging operations of indexed-linked insurance products.

Perform model development and testing/debugging of models built using Python, Snowflake, AWS, VBA, etc.

Develop and support modeling of product feature changes, option valuation methodology changes, new and refined hedging strategies and tactics, and exotic option hedging solutions.

Maintain thorough model documentation and collaborate with stakeholders to ensure appropriate peer review, QAT, and UAT as well as communicating, understanding, and educating on impacts to hedging.

Proactively evaluate and recommend modeling strategies and potential approaches to find solutions that best address business needs.

Partner with IT and functional areas to develop simple, effective, and innovative solutions to simplify and automate modeling processes.

Peer-review changes made by other team members and act as an internal expert for your colleagues on these various systems and platforms.

Provide guidance and expertise to junior staff on methodology, model implementation, and testing/debugging to support modeling initiatives.

The experience you will bring:

Bachelor’s in computer science, finance, mathematics or related field.

10+ years’ of programming and financial mathematics experience.

Extensive experience coding in Python, SQL, and VBA.

Self-starter with the ability to develop solutions by collaborating with multiple business partners.

Ability to work independently and collaboratively as part of a team, and to manage long-term projects.

Detail-oriented with excellent organizational, communication, and interpersonal skills.

Excellent analytical, problem-solving, and decision-making skills.

What will make you stand out:

Experience with unit testing frameworks, version control, or continuous delivery workflows.

Experience working with Azure Dev Ops, JIRA, pipelines, and AWS.

Experience with indexed-linked insurance products.

Experience with option hedging and financial mathematics.

You can be who you are.

People come first here. We’re committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at  What’s life like at Pacific Life? Visit

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Base Pay Range:

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. Also, most employees are eligible for…