Actuarial Analyst I

at  TD Bank

JOB REQUIREMENTS

• 1+ years of actuarial experience in the general insurance field
• Bachelor degree in Actuarial Sciences or related field
• Passed 4 exams from the Casualty Actuarial Society and working towards his/her Casualty Actuarial Society Associateship (preferred)
• Excellent knowledge of the Microsoft Office Suite
• Knowledge and interest for programming, notably SQL, VBA and R (preferred)
• Experience in predictive modeling
• Advanced analytical, decision-making and problem solving skills
• Client-focused and aptitude for teamwork with solid organizational and communications skills
• Highly adaptable to change
• Autonomous and perseverant; shows initiative and creativity in their work
• Recognized for their thoroughness and the quality of their work

WHO WE ARE

As part of TD Bank Group, one of Canada’s largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.
TD Insurance offers a wide range of products, including General Insurance and Life and Health. More than four million customers count on us.
As the largest direct to consumer insurer in Canada, we are always innovating and providing exciting and rewarding career opportunities for our Canada-wide workforce.

This role will contribute in both IRM and MRM functions.

• Contribute to design enhanced insurance risk reporting that leverages risk analytics, analyze and interpret the output, and provide commentary insights to management and risk partners.
• Contribute to the TDI Model Oversight, working in partnership with TDI model owners, TDI Model Control Group and TD Model Risk Management, performing model reviews that are efficient, thorough and well documented. The reviews must bring value to our business partners by raising potential issues in models and model development and by proposing solutions to those issues.

The Actuarial Analyst II will contribute to the success of the Analytics and Model Risk Oversight team by participating in model validation activities and performing risk analytics to generate insights to stakeholders.