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Insurance Quant Jobs in Colorado (NOW HIRING)

Position WCF Insurance, an "A" rated carrier growing throughout the western states, has an ... Responsibilities An underwriter applies quantitative and qualitative analysis along with sound ...

Senior Underwriter

Englewood, CO · On-site

$90K - $110K/yr

Position WCF Insurance, an "A" rated carrier growing throughout the western states, has an ... Perform quantitative and qualitative risk analysis to form an underwriting assessment of accounts ...

Position WCF Insurance, an "A" rated carrier growing throughout the western states, has an ... Perform quantitative and qualitative risk analysis to form an underwriting assessment of accounts ...

S. Ecology courses in wildlife population analyses, quantitative methods in ecological research ... insurance, retirement plan, life insurance, and other insurance options. After one year of ...

Model Risk Analyst

Denver, CO · On-site

$85K - $95K/yr

A minimum of one year of experience in model development, model validation, quantitative risk ... Company-paid Life Insurance * Tuition Reimbursement * Fitness Reimbursement * Paid Time Off

Model Risk Analyst

Denver, CO · Hybrid

$85K - $95K/yr

A minimum of one year of experience in model development, model validation, quantitative risk ... Company-paid Life Insurance * Tuition Reimbursement * Fitness Reimbursement * Paid Time Off

Model Risk Analyst

Denver, CO · On-site

$85K - $95K/yr

A minimum of one year of experience in model development, model validation, quantitative risk ... Company-paid Life Insurance * Tuition Reimbursement * Fitness Reimbursement * Paid Time Off

... insurance. Rate: $80-$95 Responsibilities: Design, develop, and own applied data science and ... PhD in a quantitative field (e.g., Data Science, Mathematics, Statistics, Computer Science ...

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Insurance Quant information

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.

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 insurance quants?

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.

What is a quant in insurance?

An insurance quant is a professional who applies mathematical, statistical, and financial models to assess risk, price policies, and develop strategies for insurance companies. They often use programming tools like R or Python and require strong analytical skills to interpret large data sets and improve underwriting and risk management processes.

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 Colorado? For Insurance Quant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Insurance Quant jobs in Colorado look for? The top searched job categories for Insurance Quant jobs in Colorado are:

Senior Product Analyst, Commercial Insurance

MGT Insurance

Denver, CO • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
MGT Insurance is the first AI-driven neo-insurer focused on evolving commercial P&C insurance for brokers and small business owners. The Senior Product Analyst, Commercial Insurance supports the Sr. Commercial Product Leader in product development, pricing, and research activities while collaborating with cross-functional teams to innovate and enhance commercial insurance products.
Responsibilities:
• Assist in developing and enhancing commercial P&C products across multiple lines of business.
• Support the Sr. Commercial Product Leader in drafting product requirements, preparing product documentation, and coordinating cross-functional workstreams.
• Participate in the research, planning, and evaluation of new product initiatives.
• Conduct data analysis to support pricing, product design, risk segmentation, and rate adequacy.
• Build and maintain analytical models using SQL, Python, R, SAS, or other statistical tools.
• Assist in monitoring product performance, including loss trends, underwriting patterns, and competitive benchmarks.
• Support the development of rating structures and pricing models for new and existing products.
• Assist with state filing activities, including preparing components of filings, compiling exhibits, and supporting responses to regulator questions.
• Help maintain organized documentation and filing artifacts for tracking and compliance.
• Conduct research on competitor forms, rates, rules, and market trends to inform product decisions.
• Support competitive analysis that informs coverage design, pricing, and product positioning.
• Work closely with underwriting, actuarial, claims, compliance, and engineering teams to support product implementation and updates.
• Assist with product testing and validation during system implementations or upgrades.
• Work on projects and initiatives supporting the Sr. Commercial Product Leader across product strategy, enhancement, and modernization efforts.
• Help create dashboards, reports, and insights using tools such as Power BI or other visualization platforms.
• Support documentation, training materials, and product communications.
• Contribute to automation and workflow improvements using AI tools, including OpenAI platforms (a plus).
Qualifications:
Required:
• 3+ years of experience in the insurance industry, including roles in underwriting, claims, product, actuarial support, or data analytics
• Hands-on experience with SQL, Python, R, SAS, or similar tools
• Bachelor’s degree required, ideally in Business, Math, Statistics, Economics, Finance, Insurance, Data Science, Actuarial Science, or related fields
• Strong analytical and quantitative skills; ability to manipulate and interpret data
• Curiosity and a desire to learn commercial insurance product development
• Excellent problem-solving skills with attention to detail
• Effective communication skills, both written and verbal
• Ability to manage multiple tasks and deadlines in a dynamic, fast-paced environment
Preferred:
• Experience working in an analytical capacity preferred (pricing, analytics, modeling, or quantitative problem-solving)
• Experience with visualization tools (Power BI preferred)
• Experience with insurance product management or product development processes is a plus
• Experience working with AI tools (including OpenAI platforms) is a bonus
• Master’s degree is a plus
• Insurance certifications (CPCU, AINS, ARM, etc.) are a plus
• Basic understanding of commercial P&C insurance products, coverage concepts, or rating principles preferred
Company:
MGT is the first AI neo-insurer: a modern, full-stack carrier built by experienced industry professionals. Founded in 2023, the company is headquartered in Sherman Oaks, USA, with a team of 51-200 employees. The company is currently Growth Stage.