Senior Actuary Analyst - Pricing, Reserving & Insights

Toyota Deutschland GmbH; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Team Member Vehicle Purchase Discount

Paid holidays and paid time off

Job summary

Toyota Deutschland GmbH in Plano, TX seeks an experienced actuary to lead pricing and reserving analyses for vehicle protection products. You will own pricing strategy, monitor claims and expenses, and collaborate with product, accounting, and analytics teams to refine rate filings and risk recognition.

The role requires a master’s degree and 5+ years in actuarial work using Python and SQL, with strong communication and governance skills to drive decision-making across departments.

Qualifications

• Master’s degree in a technical field or equivalent work experience.
• 5+ years in pricing, reserving, forecasting, or loss analysis with Python/SQL.
• Strong analytical, communication, and stakeholder management skills.
• Experience with model governance, validation, and documentation.
• Ability to lead pricing strategy and collaborate with product teams.

Responsibilities

• Develop, review, and implement pricing and filed premium rates.
• Build and refine predictive models for forecasting and insights.
• Analyze large data sets to support pricing decisions across products.
• Partner with cross-functional teams to identify trends and opportunities.
• Communicate results clearly to technical and non-technical stakeholders.
• Lead unpaid claims estimates and ensure accounting standards alignment.

Skills

Actuarial modeling

Python

SQL

Pricing

Reserving

Forecasting

Communication

Stakeholder management

Education

Master’s degree in Actuarial Science

Tools

Python

SQL

Job description

Toyota Deutschland GmbH in Plano, TX seeks an experienced actuary to lead pricing and reserving analyses for vehicle protection products. You will own pricing strategy, monitor claims and expenses, and collaborate with product, accounting, and analytics teams to refine rate filings and risk recognition.

The role requires a master’s degree and 5+ years in actuarial work using Python and SQL, with strong communication and governance skills to drive decision-making across departments.