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Quantitative Risk Manager Jobs in Blair, NE (NOW HIRING)

Brookfield

VP, Ceded Reinsurance

Omaha, NE

$214K - $257K/yr

Counterparty oversight: manage reinsurance credit risk by ensuring all participating reinsurers ... Operational excellence: high attention to detail with the ability to manage complex, quantitative ...

Deloitte

Finance Analytics & AI Manager

Omaha, NE · On-site

Performing assessments using quantitative and qualitative techniques, including AI-enabled ... From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ...

Varsity Tutors

CFP Tutor

Omaha, NE · Remote

$35 - $40/hr

... risk management and insurance, investment planning, tax planning, retirement savings and planning ... and quantitative calculation approaches for CFP examination. Guides students through analyzing ...

Varsity Tutors

Business Statistics Tutor

Omaha, NE · Remote

$18 - $40/hr

... quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... management, and financial risk analysis. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Quantitative Risk Manager information

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$51.1K

$110.6K

$168.5K

How much do quantitative risk manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quantitative risk manager in Blair, NE is $110,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $127,900.00 per year, depending on experience, location, and employer.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a quantitative risk manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

Quantitative Risk Manager jobs near you

Sr P&C Data Scientist

American National Insurance Company

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

American National Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

231st of 311 rated insurance

Job description

Company
Farm Family
Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.
Job Description
The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.
Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors less-experienced team members and contributes to the continued maturation of the pricing analytics function.
Key Responsibilities
Pricing & Insurance Analytics
  • Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
  • Independently own pricing models translating analytical results into actionable recommendations
  • Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use

Modeling & Data Science Execution
  • Own the end-to-end analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
  • Design and execute validation frameworks to assess model performance, stability, and business impact
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows

Data & Technical Skills
  • Work independently with large, structured and semi-structured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Establish and uphold high standards for data quality, reproducibility, documentation, and version control
  • Follow model development best practices and model risk governance standards

Business Partnership & Communication
  • Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Influence decision-making by framing trade-offs, risks, and opportunities using data-driven narratives
  • Respond to feedback and iterate on analyses to better support business decisions
  • Present analytical findings to senior management and cross-functional leadership

Coaching & Continuous Improvement
  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
  • Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function

Required Qualifications
  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience
  • Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets and applying statistical or machine learning methods to real-world business problems
  • Strong analytical judgment, problem-solving ability, and communication skills
  • Proven ability to work independently and own complex analytical models

Preferred Qualifications
  • Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
  • Familiarity with several predictive modeling techniques (e.g., GLMs, tree-based models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers

Job Level
  • The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Albany & Chicago Pay Range $102,000 - $152,000
Los Angeles & New York City Pay Range $112,000 - $160,000
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
Core Values
At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.

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