Munich Re

Actuarial Analyst (Pricing)

Munich Re$89K — $104K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • University Degree in Actuarial Science, Mathematics, Statistics, Economics, or Computer Science.
  • 3+ years of experience applying actuarial methods for insurance pricing and analytics.
  • Advanced programming skills in tools like MS Office, Power BI, and programming languages such as VBA, Python, SQL.
  • Strong analytical and problem-solving capabilities for process automation and efficiency.
  • Effective organizational skills for managing multiple projects and deadlines.
  • Excellent interpersonal and communication skills for team collaboration.
  • Experience in P&C Insurance analytics is an asset.

Responsibilities

  • Apply statistical analysis for pricing of new and existing insurance products.
  • Support development of new products to implement strategic initiatives successfully.
  • Analyze rate adequacy and trends to develop pricing indicators and structures.
  • Collaborate with various internal departments for pricing and data analysis.
  • Review and enhance pricing processes for improved accuracy and automation.
  • Lead and contribute to various pricing projects, including rating structures implementation.
  • Monitor product performance and provide recommendations for adjustments in pricing.

Benefits

  • Collaborative environment focused on continuous learning and development.
  • Hybrid work model with a mix of in-office and remote days.
  • Comprehensive health and dental benefits starting on the first day.
  • Flexible spending accounts for health and wellness expenses.
  • Wellness program supporting mental, physical, and financial health.
  • Participation in a pension plan with employer contributions starting at 4%.
  • Generous time off, including vacation and personal days.
  • Access to extensive learning resources and professional development programs.
Full Job Description
Primary Objectives:

The Actuarial Analyst conducts qualitative and quantitative data analysis to assist in pricing and rating new and existing products, as well as in identifying new business opportunities, in order to facilitate the Company planning process.

Located at our Head Office in downtown Toronto, reporting to the AVP Pricing, the role will contribute to pricing, data analytics and tool projects, using actuarial models and innovative approaches. Projects are varied and include development of rating structures and monitoring/reporting on overall rate adequacy. This role, will have exposure to rating in both personal and commercial property lines with valuable career development potential. It is an ideal position for an innovative thinker with a problem solving mindset, who is eager to learn and grow.

Job Responsibilities:
  • Apply pricing components and rating methodology to price existing and new products based on thorough statistical analysis.
  • Provide actuarial support in the development of new products and services to achieve successful implementation of approved strategic initiatives.
  • Provide actuarial and statistical analysis related to rate adequacy, including loss and premium trends, production of rate indicators and development of rating structures.
  • Collaborate with internal stakeholders such as Treaty, Regional Offices, Digital Distribution, New Solution Development and Claims to support their needs for pricing, data processing, analysis and mining of data and reporting.
  • Provide on-going review and improvements of pricing and processes for greater automation, accuracy and rate adequacy.
  • Drive and deliver the existing projects and contribute in various pricing projects. Projects are varied and include development and implementation of rating structures and pricing models.
  • Measure, Track and Monitor Products performance. Analyze market changes and emerging trends affecting pricing and profitability of the products and make recommendations on rates to management with supporting documentation to ensure strong profitable revenue growth.


Qualifications:
  • University Degree in Actuarial Science, Business, Mathematics, Statistics, Economics or Computer Science.
  • 3+ years of relevant experience in a similar role with the ability to apply actuarial methods to develop insurance rating and pricing structures, compile, analyze, present and translate findings from analytics to concrete suggestion for business opportunities and to facilitate decision making.
  • Advanced programming knowledge and data processing abilities (using tools such as MS Office, Power BI and languages such as VBA, python, SQL). • Strong analytical and Problem-solving skills and looking for efficient, automated solutions.
  • Organizational and time management skills to prioritize workloads and multiple projects and meet time sensitive deadlines with high degree of accuracy.
  • Ability and desire to learn and adapt quickly to a changing and fast-paced environment.
  • Strong interpersonal and communication skills in effectively working within a team and collaborating with several business partners.
  • Strong written and oral communication skills.
  • P&C and Insurance analytics experience including a strong understanding of earned premium, incurred claims, loss development and deriving loss costs is an asset.
  • Strong team player, able to contribute in a collaborative environment.
  • A positive, professional attitude is essential for this role.


Company Benefits:

Together, we engage with everything we have and are, to help humankind act braver and better. Go further with HSB. We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:
  • An engaging and collaborative environment that promotes continuous learning and development
  • A hybrid work environment that combines weekly in-office and remote days
  • A great compensation package including an annual company bonus
  • Competitive company-paid flexible health and dental benefits, starting on your first day
  • Flexible dollars provided by the company to put towards a Health Spending Account and/or Wellness Spending Account
  • Wellness program with tools and resources supporting your mental, physical, and financial wellbeing - on and off the job
  • Participation in the DC Pension Plan with a progressive employer contribution scale based on tenure starting at 4%, plus optional company match in the RRSP plan
  • Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
  • Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program, and reimbursement for professional fees
  • Employee Referral Program and Recognition Program


Our base salary range for this role is between $89,000 and $104,000 per year , plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to internal equity.

This role is located in our Toronto office on 390 Bay St, and we operate in a hybrid work model. This job posting is for an existing vacancy.

We do not use AI in our recruitment process - applications are reviewed by our team to ensure a fair and personalized experience.

About Munich Re

Munich Re is a leading global provider of reinsurance, primary insurance and insurance-related risk solutions. The company is headquartered in Munich, Germany. Munich Re operates in all lines of insurance and has a presence in all major markets worldwide. Munich Re's business model is based on the combination of primary insurance and reinsurance under one roof. The company has three business segments: reinsurance, primary insurance, and Munich Health. Munich Re's global premium income amounted to ?54.5 billion in 2020.
Learn more about Munich Re
Size
41,000 employees
Industry

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