Senior Quantitative Analyst - Insurance & Retirement Risk

Athene; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Athene is seeking a senior quantitative analytics professional in a hybrid Toronto-based role. You will design and maintain stochastic models, perform derivative pricing, and generate risk metrics for retirement products and guarantees.

Lead reproducible research pipelines, apply AI tools to accelerate analysis, and collaborate with investment, risk, and product teams across North America. Strong Python/SQL skills and 7+ years of experience are required.

Qualifications

• 7+ years of relevant experience in quantitative analytics, risk analytics, investment analytics, retirement analytics, derivatives modeling, or relevant experience.
• Advanced proficiency in Python and SQL for quantitative analysis, data extraction, and transformation.
• Experience developing reproducible, well-controlled research and modeling workflows with version control and testing.
• Ability to apply AI tools to accelerate research, analysis, model development, and process improvement.

Responsibilities

• Design, build, and maintain stochastic models and Monte Carlo engines for wrap programs, guarantees, and target-date funds.
• Perform derivative modeling and pricing to value guarantees and hedge structures embedded in products.
• Generate metrics to inform product design and governance, including risk and return assessments.
• Develop reproducible analytics pipelines and data workflows with SQL and Python.

Skills

Python

SQL

Excel

Bloomberg

MATLAB

VBA

Education

Bachelor’s degree in financial engineering, finance, economics, mathematics, statistics, or related quantitative field

Tools

Bloomberg

MATLAB

VBA

SQL

Job description

Athene is seeking a senior quantitative analytics professional in a hybrid Toronto-based role. You will design and maintain stochastic models, perform derivative pricing, and generate risk metrics for retirement products and guarantees.

Lead reproducible research pipelines, apply AI tools to accelerate analysis, and collaborate with investment, risk, and product teams across North America. Strong Python/SQL skills and 7+ years of experience are required.