AVP Pricing Actuary

1 month ago


Chicago, United States Scor Full time
Job Description

The AVP, Pricing Actuary will be a key member of the US P&C Treaty pricing team supporting business written by the US Casualty Underwriting team. The job responsibilities include but are not limited to pricing US Casualty treaties, advising the local underwriting team on important pricing matters, identifying key drivers impacting the portfolio performance to support the decision-making and drive company growth, leading and conducting market and actuarial projects, regularly contributing to the development of pricing methods and tools, etc. The role can be filled at the VP, Senior Pricing Actuary level depending on the experience and background of the candidate.

Responsibilities

  • Work closely with US casualty underwriters to analyze and price reinsurance contracts, quantify the impact of contract features, provide an understanding of the key risk loss drivers, and advise them on key pricing related issues.
  • Participate in or lead projects to update pricing parameters including loss trends, rate changes, loss development factors, exposure curves, etc.
  • Assist in studies to improve pricing methodology, enhance the efficiency of pricing processes, and apply sound actuarial judgement to help achieve long term profitability for US casualty and SCOR.
  • Perform market studies to stay on top of key emerging trends and incorporate into pricing parameters and analyses.
  • Mentor, train and review the work of more junior pricing actuaries.
  • Participating in various cross functional teams and projects and providing best actuarial practices.
  • Participating in broker and client visits, audits, and renewal meetings.


Qualifications

Required experience & competencies:
  • 5+ years of experience in (re)insurance pricing with strong background in Umbrella, Excess Casualty, General Liability and Commercial Auto lines.
  • Prior experience in commercial property pricing and/or cat modeling would be a plus.
  • Proficiency in Excel, SQL and experience in R, Python or similar.
  • Strong analytical skills and ability to manipulate or handle large datasets.
  • Highly motivated and driven individual with excellent analytical and problem-solving skills.
  • Self-starting individual and excellent team player who has the maturity to work with a diverse group of personalities.
  • Effective written and oral communication skills and ability to explain complex issues to non-technical audiences.
  • Strong organizational and time management skills required.
  • Expert Excel and database skills a must.
  • Experience with statistical or programming languages desired.

Required Education:
  • Excellent academic qualifications including a minimum of a bachelor's degree in mathematics, actuarial science, economics, statistics or other science disciplines such as engineering or physics.
  • Actuarial background / successful completion of CAS Actuarial exams highly desired.


About Us

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
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