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Senior Actuarial Analyst, Pricing job in Chicago

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Chicago, Illinois - IL At-Bay

Job Ref:  5967249003
Employer:  At-Bay
Sector:  InsurTech
Risk Management
Qualifications:  Part Qualified Actuary
Software:  Excel
Python
R
SQL
Job Type:  Full Time
Salary and Benefits:  Competitive
Remote:  No

Location

Country:  United States
State/Province/County:  Illinois - IL
City:  Chicago
Post Code:  Not specified
Map: 

Description

DRIVE PROFITABLE GROWTH FOR THE BUSINESS

Why you should join our Actuarial Pricing team:

As an Senior Actuarial Analyst on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth.

You'll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Senior Actuary (Matt Actipes). You'll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have - to support key business decisions with data backed insights and a deep understanding of insurance risk.

Role overview:

Your work will directly contribute to At-Bay's risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep cyber and tech knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you'll see in house submission, quotes and binds and understand how each risk decision will impact on the business.

You will manage the overall program profitability, improve pricing accuracy, and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for leading and supporting a wide variety of pricing and underwriting related initiatives, quantifying the impacts and implications of those initiatives on the business and identifying ways to the overall economics of the business.

How you'll make an impact:

By 3 months...
  • You'll understand At-Bay's internal data structure and develop key relationships across the business
  • You'll have reviewed the existing Cyber and Tech E&O product structures, related tools, and related data sources to track and analyze product performance
  • You'll have completed a quarterly rate indication and presented your recommendation to key stakeholders
  • You'll identify areas of improvement in our systems and processes

By 6 months...
  • You'll have developed a proposal to modify the Cyber rate plan and have evaluated the proposal will have on the business
  • You'll have improved the depth and efficiency of the existing rate indication process via automation and/or innovation
  • You'll have analyzed customer acquisition and retention data to improve At-Bay's ability to understand the economics of the business
  • You'll help coach team members and key stakeholders to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business

What you've accomplished already:
  • You've evaluated the profitability of a portfolio of insureds using actuarial techniques and communicated the results to leadership
  • You've worked cross-functionally with underwriting, product management, data science, claims or other analytical departments to solve complex business problems
  • You've developed tools to automate existing processes and/or improve visibility into the performance of the products
  • You've analyzed competitor rating plans and interpreted the results to improve your pricing and/or underwriting structures
  • You've passed 4+ exams in pursuit of your ACAS, FCAS, or other equivalent designation
  • You've achieved proficiency with Excel and SQL, and have experience with Python and/or R


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ref: (5967249003)
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