Actuary, R&D (12-month Fixed term contract)

Job summary

Support the design and maintenance of a Global Capital Assumptions Framework to quantify insurance risk across various lines of business. Conduct statistical research and develop simulation-based models to calibrate risk and translate outputs into practical capital assumptions.

Job details

Job Title Actuary, R&D (12-month Fixed term contract) Job Description About the Role This role is particularly suited to candidates with strong statistical backgrounds looking to apply advanced modelling techniques within an actuarial context. This role will focus on supporting the design, production, and maintenance of a Global Capital Assumptions Framework for quantifying insurance risk for Economic Capital across Pacific Life Re. The framework will ultimately cover all lines of business, i.e. Mortality, Morbidity, Longevity and Capital Solutions. The framework will include appropriate centralization, cutting edge design and methodologies, support for market entry and a target operating model that ensures efficiency of maintenance and growth. The ideal candidate will bring creativity and innovation skills, along with the confidence and resilience to tackle complex problems. A core component of the role will involve statistical research, model development and simulation-based approaches to risk calibration. We expect the candidate to bring a strong statistical modelling background, coupled with actuarial training, and will be comfortable working with large datasets, developing and validating models, and translating research outputs into practical capital assumptions used across the business. The role offers exposure to a range of global markets and a variety of experts and senior stakeholders across functions, as well as to a range of data sources and methodologies. Desirable Qualifications & Experience * Qualified Fellow of the Institute and Faculty of Actuaries (IFoA) or Society of Actuaries (or similar) * Strong statistical skills, with hands-on experience in statistical modelling and simulation-based approaches * Strong programming capability is essential, particularly in R, with experience building transparent, reproducible analytical models * Experience applying quantitative or actuarial techniques to insurance risk, capital, or pricing problems * Excellent communication and organizational skills, with the ability to present complex statistical concepts clearly to technical and non-technical stakeholders * Ability to work independently while collaborating effectively within a flexible, dynamic team Salary Range: $127,800 - $149, 100 Compensation Range The compensation 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. Working For Pacific Life Re Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities. Benefits Leave * 23 days of annual leave (Regular employees) with option to buy or sell more days * Fertility leave * Generous parental leave Healthcare * Group Life Insurance and Accidental Death & Dismemberment coverage for all permanent employees * Dental & Optical benefits Savings & Retirement * RRSP: company-matched contributions Wellness * Employee and Family Assistance Program * Subsidized gym membership * Time off for volunteering * Charitable matching of employee donations As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible. Pacific Life Re Values PLEASE CLICK HERE TO VIEW OUR COMPANY VALUES [https://www.pacificlifere.com/home/careers/working-here.html] Use of AI As part of our commitment to a fair and efficient hiring experience, we want to inform you that we may use artificial intelligence (AI) tools to assist in reviewing resumes, and during the assessment process, including through platforms like HireVue. These tools help us identify relevant qualifications and streamline evaluations, but final decisions are always made by our hiring team.

What you’ll do

Support the design and maintenance of a Global Capital Assumptions Framework to quantify insurance risk across various lines of business. Conduct statistical research and develop simulation-based models to calibrate risk and translate outputs into practical capital assumptions.

Requirements

Requires a qualified Fellow of the IFoA, SOA, or similar body with strong statistical modelling and R programming skills. Candidates must have experience applying quantitative techniques to insurance risk, capital, or pricing problems.

Benefits

• Annual leave • Fertility leave • Parental leave • Healthcare • Group Life Insurance • Accidental Death & Dismemberment coverage • Dental benefits • Optical benefits • RRSP company-matched contributions • Employee and Family Assistance Program • Subsidized gym membership • Time off for volunteering • Charitable matching of employee donations

Listed skills

• Data analysis · Preferred
• Communication · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Statistical Modelling
• Simulation-based Approaches
• R Programming
• Actuarial Science
• Risk Calibration
• Data Analysis
• Model Validation
• Communication
• Organizational Skills
• Insurance Risk Quantification

Job areas

• Finance & Accounting
• Data & Analytics
• Science & Research