Actuary, L&H Reserving Canada

SCOR

$142K — $182K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in actuarial sciences or related field with academic excellence
  • FSA/FCIA designation (or equivalent) preferred, with 7+ years of experience
  • Substantial experience in assumption development and experience analysis
  • Expertise in AXIS modelling
  • Knowledge of data-based applications like VBA, SQL, Python, SAS, PowerBI is a plus
  • Excellent analytical and problem-solving skills
  • Strong communication skills, capable of engaging at all organizational levels

Responsibilities

  • Lead assumption development and experience analysis activities
  • Provide technical direction on assumption-related AXIS modelling
  • Identify and mitigate model and assumption-related risks
  • Support and lead innovation and process improvement initiatives
  • Contribute to valuation, capital, and reporting activities as needed

Benefits

  • Hybrid work arrangement, 3 days in-office and 2 days remote
  • Comprehensive health insurance coverage
  • Life and disability insurance
  • Retirement saving plan
  • Paid holidays and time off
  • Annual bonuses and short- and long-term incentives
Full Job Description
Job Description

The successful candidate is expected to be a fellow with demonstrated relevant experience. You will be a key contributor to the team's most judgement-intensive and technically complex activities, including assumption development and strategic reserving initiatives.

Responsibilities

Key duties and responsibilities
  • Lead and support assumption development and experience analysis activities
  • Provide technical expertise and direction on assumption-related AXIS modelling work
  • Identify, assess, and mitigate model and assumption-related risks
  • Support and lead targeted innovation and process improvement initiatives
  • Contribute to valuation, capital, and reporting activities as required

Desired Experience & Competencies
  • Bachelor's degree in actuarial sciences or related field
  • FSA/FCIA designation (or international equivalent) strongly preferred, with 7+ years of experience.
  • Significant experience in assumption development and experience analysis
  • Strong AXIS modelling expertise
  • Innovative mindset and strong actuarial judgement
  • Knowledge of data-based applications (VBA, SQL, Python, SAS, PowerBI, etc.) an asset
  • Proficiency in the MS Office suite
  • Strong analytical skills with strong problem-solving ability
  • Well-organized and a self-directed individual who is a team player
  • Demonstrated ability to handle priorities / projects concurrently and to deliver
  • Excellent verbal & written communication skills; proven success communicating effectively across different levels within an organization
  • French language proficiency while not a pre-requisite will be considered an asset


Qualifications

Required Education
  • Bachelor's Degree in Actuarial Science or related field with demonstrated record of academic excellence


Hybrid Work Policy: SCOR is committed to an "in-office" culture where people can collaborate, exchange ideas, and establish stronger working relationships while still providing flexibility. To support employee work-life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely.

Pay Range for roles performed in Toronto: $142,000 - $182,000 base salary per year. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Other rewards may include annual bonuses, short- and long-term incentives. In addition, we provide a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement saving plan, paid holidays and paid time off.

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