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Insurance Quant Jobs in Ohio (NOW HIRING)

Keybank

Underwriting Analyst - FHA

Cleveland, OH

$69K - $105K/yr

ESSENTIAL JOB FUNCTIONS The Analyst will provide high level qualitative and quantitative analysis ... Insurance lending programs, Fannie Mae DUS, Freddie Mac Program, FHA a plus. EQUIPMENT USED ...

KeyBank

Underwriting Analyst - FHA

Cleveland, OH · On-site

$69K - $105K/yr

ESSENTIAL JOB FUNCTIONS The Analyst will provide high level qualitative and quantitative analysis ... Insurance lending programs, Fannie Mae DUS, Freddie Mac Program, FHA a plus. EQUIPMENT USED ...

Keybank

Underwriting Analyst - FHA

Columbus, OH

$69K - $105K/yr

ESSENTIAL JOB FUNCTIONS The Analyst will provide high level qualitative and quantitative analysis ... Insurance lending programs, Fannie Mae DUS, Freddie Mac Program, FHA a plus. EQUIPMENT USED ...

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Insurance Quant information

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 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.

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 popular job titles related to Insurance Quant jobs in Ohio? For Insurance Quant jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Insurance Quant jobs in Ohio look for? The top searched job categories for Insurance Quant jobs in Ohio are:
What cities in Ohio are hiring for Insurance Quant jobs? Cities in Ohio with the most Insurance Quant job openings:
Insurance Quant jobs near you
Analytics Lead - Great American Risk Solutions

Analytics Lead - Great American Risk Solutions

Great American Insurance Group

Cincinnati, OH • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Great American Insurance Group rating

8.7

Company rating: 8.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

61st of 277 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

The Great American Risk Solutions (GARS) Analytics Team developsreporting and analytics that enable betterdecision-makingacross a complex and evolvingcommercialinsurance portfolio.We are seeking an Analytics Lead to serve as afirstlineanalytics leader and business partner, coordinating analytics delivery, guidingdaytodayexecution, and helping scale team capabilities asdemand continues to grow.

This role emphasizes ownership of analytics execution, prioritization, and quality across core reporting domains, along withhandsonanalytical credibility and proactive adoption of modern tools and methodologies. The ideal candidate brings strong analytical judgment, abusinessfocusedmindset, and the ability to effectively lead and develop analysts.

Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core inoffice days are Tuesday-Thursday, with the fourth day determined by business needs.

Essential Job Functions and Responsibilities

  • Coordinates the daily operations of the data team, ensuring efficient workflow and productivity.

  • Overseesanalytical work across reporting and analytics initiatives, ensuring data is accurately integrated, evaluated, and interpreted to support strategic businessobjectives.

  • Ensures data integrity and accuracy through regular audits and validation checks.

  • Leadsthedevelopment and delivery of reports, dashboards, and visualizations to provide insights to stakeholders.

  • Partners closely with business stakeholders to understand reporting and analytics needs, translate requirements into actionable work, and deliverhighimpactsolutions.

  • Collaborates with ITdatamartteams and enterprise analytics toalign onstandards, tooling, and responsibilities and ensure effective divisional analytics execution

  • Responsible foridentifyingand implementing process improvements to enhance data collection, analysis, and reporting efficiency.

  • Ensures documentation is developed andmaintainedfor analytics processes, workflows, reportingstandards, and data definitions

  • Leads, mentors, and provides ongoing coaching and feedback to analysts, supporting skill development, consistent quality, and professional growth.

  • Contributeshandsonanalytical work as needed, particularly for complex,timesensitive, orhighimpactdeliverables.

  • Performs other duties as assigned.

Job Requirements

  • Education: Bachelor's Degree or equivalent experiencerequired; master's degree or professional license/certificationa plus.

  • Field of Study: Business, Finance, Accounting, Computer Science, or related quantitative or technology discipline preferred.

  • Experience:6years of experience in analytics, reporting, or business intelligence roles.Experience in insurance, financial services, or professionalservicesa plus.

Scope of Job/Qualifications

  • Demonstrated experience leading or coordinatingthedaytodaywork of other analysts, including prioritization, review, and coaching responsibilities.

  • Strong analytical judgment and technical credibility, with sufficientproficiencyinanalytics and reporting toolsto review work, guide approaches, and set quality standards(e.g.,SQLbasedanalytics, Snowflake, Tableau, Power BI)

  • Ability tooperatewith limited oversight, exercising sound judgment in prioritization, execution decisions, and escalation.

  • Effective communicator who can translate business needs into analytical direction and provide clear feedback to both analysts and stakeholders.

  • Maintains awareness of best practices and emerging trendsin analytics, ensuring the teamremainsaligned with standards and expectations.

  • Experience working in Agile/Scrum environments a plus

Business Unit:

Great American Risk Solutions

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

*Excludes seasonal employees and interns.

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