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Insurance Quant Jobs in Iowa (NOW HIRING)

MLee Medical Employment

Medical Technologist

Klemme, IA · On-site

Operate, calibrate, and maintain equipment used in quantitative or qualitative analysis * Enter ... Life Insurance * Flex Plan * Longevity Recognition * Employee Assistance Program (EAP) * Let me ...

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Insurance Quant information

What is an insurance quant?

Insurance quants, or quantitative analysts in the insurance industry, use mathematical, statistical, and computational methods to analyze risk, price insurance products, and optimize investment strategies for insurance companies. They develop models to assess the likelihood of claims, determine appropriate premiums, and ensure the company's financial stability. Insurance quants often work closely with actuaries, but focus more on advanced quantitative techniques and financial modeling. Their work helps insurance firms make data-driven decisions and maintain competitiveness in the marketplace.

How does an insurance quant typically collaborate with underwriters and actuaries in their daily work?

An Insurance Quant frequently works alongside underwriters and actuaries to analyze risks, develop pricing models, and evaluate policy portfolios. Collaboration often involves sharing statistical insights, validating risk assumptions, and refining predictive models to ensure accurate and competitive insurance products. Regular meetings and data-sharing sessions help align quantitative findings with business objectives, enabling the team to make informed decisions on product design, pricing, and risk management. This close teamwork is crucial for integrating advanced analytics into traditional insurance processes and driving innovation within the organization.

What are the key skills and qualifications needed to thrive as an insurance quant, and why are they important?

To thrive as an Insurance Quant, you need strong quantitative skills, a background in mathematics, statistics, or actuarial science, and often an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python or R), statistical modeling tools, and actuarial software is typically required, along with relevant certifications such as actuarial credentials (e.g., SOA, CAS). Excellent problem-solving abilities, attention to detail, and the capacity to communicate complex analyses to non-technical stakeholders are standout soft skills. These competencies are critical for accurately assessing risk, pricing insurance products, and supporting data-driven decision-making in the insurance industry.

What is the difference between Insurance Quant vs Actuary?

AspectInsurance QuantActuary
Required CredentialsAdvanced degrees in mathematics, statistics, or finance; often CFA or FRM certificationsProfessional actuarial certifications (SOA, CAS), exams required
Work EnvironmentQuantitative teams within insurance companies, hedge funds, or consulting firmsInsurance companies, consulting firms, government agencies
Job FocusDeveloping models for risk assessment, pricing, and financial strategiesCalculating insurance premiums, reserving, and risk management
Common Search/ComparisonInsurance Quant vs Actuary

Insurance Quants and Actuaries both work in the insurance industry with a focus on risk and financial modeling. Quants typically use advanced mathematics and programming to develop models, while actuaries focus on pricing and reserving using actuarial exams and certifications. Both roles require strong quantitative skills, but their daily tasks and certifications differ.

What are popular job titles related to Insurance Quant jobs in Iowa?

For Insurance Quant jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Insurance Quant jobs in Iowa look for?

The top searched job categories for Insurance Quant jobs in Iowa are:

What cities in Iowa are hiring for Insurance Quant jobs?

Cities in Iowa with the most Insurance Quant job openings:

Insurance Quant jobs near you

Actuarial Associate, Insurance Risk Modeling

Careers at KKR

Des Moines, IA

$120K - $130K/yr

Full-time

Re-posted 18 days ago

Job description

Actuarial Associate, Insurance Risk Modeling 

Build the models that move the business 

If you love being hands-on with models - architecting them, breaking them, stress-testing them, and making them better - this role is built for you. As an Actuarial Associate on GA Risk's modelling team, you'll spend your days deep in the mechanics of insurance liability models that drive real decisions: how products are priced, how billions in liabilities are valued, how risk is hedged, and how the firm manages its balance sheet. You'll own models end to end and see your work shape live pricing and risk decisions. 

What makes this role different 

You won't be maintaining someone else's black box. You'll be developing and enhancing liability models directly in our risk platform, running stresses across GAAP, Stat, Econ, and Bermuda lenses to understand how liabilities behave under pressure, and building the analytical tools that let Risk challenge the status quo on modeling and pricing.  

You'll also sit close to the action. As new products launch and institutional transactions come onboard, you'll be the one bringing them onto the platform - which means you'll understand the full picture of both actuarial and market risk, not just a narrow slice of it. 

AI is going to be central in what you do.  It is already elevating everything the team does and you will be asked to explore and integrate with AI with your daily work in every way possible.   

What you'll do 

  • Develop and enhance insurance liability models in KKR Insurance Risk's liability modeling platform. 
  • Perform liability stresses under multiple lenses (GAAP / Stat / Econ / Bermuda), building a deep understanding of both actuarial and market risk. 
  • Onboard institutional transactions onto the Risk platform. 
  • Support new product launches and keep risk models current with rate changes and new product features 
  • Run validation and control reviews of actuarial and financial models, including critical assessment of the methodologies and assumptions behind them 
  • Build quantitative models and analytical tools that empower Risk to provide constructive challenges to current risk management, modeling, and pricing practices 
  • Communicate findings and their implications clearly to Risk's leadership and business stakeholders 

What you'll bring 

  • Bachelor's degree in quantitative disciplines 
  • 4 to 5+ years in a diversified life and annuity / financial or actuarial consulting environment 
  • 4 to 5+ years modeling insurance products, with a proven track record on complex products, ideally with MG-ALFA/Pathwise/PolySystem experiences.  
  • Clear, compelling communication skills, especially when translating technical concepts for both technical and non-technical audiences 

Nice to have: 

  • Professional designation such as FSA / ASA or CFA 
  • Working knowledge of life and annuity products 
  • Prior hedging or ALM experience 
    • Strong Python skills - highly desired.  

This role is not eligible for visa sponsorship now or in the future. 

This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.

Base Salary Range $120,000 - $130,000 

#LI-Onsote

 

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