Actuarial Associate II - EVB Modeling

The next part of your journey is right around the corner — with The Standard.

A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer‑first mindset and an intentional focus on building strong teams, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high‑performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer‑first commitment.

Are you ready to make a difference?

The Standard seeks a talented actuary to join the Actuarial Modeling team. In this role, you will focus on projection modeling for Elective Voluntary Benefits (EVB) products (including Traditional, Health and Universal Life), while supporting asset adequacy testing, Japanese accounting implementation, and model governance and improvement. You will gain exposure to GGY AXIS, Power BI, Python, Confluence, and other modern actuarial and data tools.

• Update projection models; review model output and communicate results.
• Document existing processes along with ideas for model/assumption refinements and process improvements.
• Collaborate with subject matter experts within the employee benefits division in order to ensure that projections are aligned with company operations and expectations.
• Promote a culture of continuous improvement by identifying ways to enhance and streamline our processes.
• Contribute to the preparation, review, and analysis of various reports related to team projections.

Acceptance of a position in this job family constitutes participation in the Actuarial Student Program at The Standard. The mission of the Actuarial Student Program is to grow actuarial knowledge, business acumen and leadership skills in our Actuaries to enable the achievement of organizational goals. Actuarial students are expected to progress through the levels of the job family based on academic/exam achievements and by developing their analytical skills, independent decision making, and effective communication and leadership skills.

Your studies will be supported through our actuarial student development program. Actuarial students are expected to complete exams and other coursework that are required for Associate and/or Fellow designations through the Society of Actuaries. This position is part of our student rotation program, meaning you will rotate to an actuarial role in one of our three other distinct product lines or to our corporate actuarial department.

Bachelor’s degree in mathematics, statistics, actuarial science, business, related fields, or comparable work experience required.

• Minimum 2 years experience, or the equivalent combination of education/experience in an actuarial role.
• Successful completion of a minimum of 2 actuarial exams.
• Hands‑on experience updating projection models and reviewing model outputs – solid understanding of materiality of analytical results.
• Experience with group, life, or health products (preferred).

• Intermediate to advanced Excel skills (required).
• Programming experience (Python preferred).
• GGY AXIS experience (preferred).
• Dashboard creation in Power BI or Tableau (required).

Winning together: Excellent verbal and written communication skills with the ability to build relationships with team members and key stakeholders across the organization. Actively participates in cross‑functional initiatives with a low‑ego, team‑oriented and collaborative approach to enhance subject matter expertise while contributing to project success.

Customer Focus: Ability to work with stakeholders across the organization. Anticipates customer needs and responds with sensitivity to deadlines and time constraints.

Improvement Mindset: Continuous learner – actively seeks out learning opportunities and demonstrates intellectual curiosity regarding the story behind the numbers. Ability to translate complex concepts into meaningful and actionable information to improve existing…