TD
TD
TD is a major North American bank serving individuals, businesses, and institutional clients through personal and business banking, insurance, wealth management, and securities services. Its broad operating model supports career opportunities across banking and finance, with roles spanning different regions and areas of expertise. TD also emphasizes sustainability, diversity, equity, inclusion, and community impact, shaping a workplace culture centered on care, respect, and employee growth.

Business Insights Analyst II, Insurance Underwriting — TD, Montreal

Join TD Insurance as a Business Insights Analyst II focused on underwriting dashboards, data pipelines, and analytical tools. Assess insurance performance and use AI-enabled automation to improve operations.

Description

  • Create and oversee automated dashboards, reporting products, and data pipelines.
  • Deliver accurate, timely insights into underwriting performance, portfolio trends, service levels, and operational results.
  • Build self-service analytics tools for underwriting leaders and business partners.
  • Use exploratory and statistical analysis to uncover trends, performance drivers, risk patterns, process gaps, and opportunities for improvement.
  • Turn business questions into analytical approaches and actionable recommendations.
  • Assess the effects of underwriting initiatives, process updates, business rules, segmentation, automation, and operational or portfolio decisions.
  • Work with Underwriting and adjacent teams to understand workflows, data requirements, and key decision points.
  • Use AI and automation to simplify analysis and modernize recurring processes.
  • Protect data quality and integrity through validation, reconciliation, documentation, and ongoing improvements.
  • Present findings through visualization and clear data storytelling for technical and non-technical stakeholders.
  • Exchange technical expertise, encourage analytical standards, and help colleagues through peer reviews and mentoring.
  • Contribute to team development and support colleagues as a senior team member.

Requirements

  • Bachelor’s or master’s degree in actuarial science, business intelligence, computer science, statistics, mathematics, data science, or a related discipline.
  • Five to seven years of relevant experience.
  • Advanced expertise in analytics, data analysis, and statistical analysis.
  • Strong analytical and statistical capabilities.
  • Strong SQL and Python programming skills.
  • Experience with data visualization and business intelligence platforms such as Power BI or Shiny/Posit.
  • Experience analyzing large or complex datasets.
  • Demonstrated ability to create repeatable, thoroughly documented analytical solutions.
  • Careful approach to data validation, reconciliation, testing, and documentation.
  • Strong written and verbal communication skills.
  • Critical thinking, creative problem-solving, sound judgment, and effective prioritization.
  • Ability to work autonomously while collaborating in a fast-moving, cross-functional setting.
  • English and French bilingualism preferred.
  • General insurance experience is strongly considered.
  • Property and casualty insurance experience, especially in Underwriting, Pricing, Product, Claims, Risk, or Insurance Operations, is preferred.
  • Knowledge of underwriting workflows, risk assessment, policy lifecycles, portfolio results, or insurance operating metrics is an asset.
  • Experience with policy, quote, claims, billing, broker, customer, or underwriting workflow data is an asset.
  • Familiarity with Guidewire or a comparable insurance technology platform is an asset.
  • For Quebec, proficiency in a language other than French may be required to support or serve employees and colleagues who need services in another language.

Benefits

  • Base salary.
  • Variable compensation.
  • Health and wellness benefits.
  • Savings and retirement programs.
  • Paid time off.
  • Banking benefits and discounts.
  • Career development opportunities.
  • Reward and recognition programs.
  • Regular career, development, and performance discussions.
  • Access to an online learning platform.
  • Mentoring programs.
  • Training and onboarding sessions.
  • Interview accommodations, including accessible meeting rooms and captioning for virtual interviews.

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