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Insurance Quant Jobs in Texas (NOW HIRING)

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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 cities in Texas are hiring for Insurance Quant jobs? Cities in Texas with the most Insurance Quant job openings:
Natural Gas Quantitative Developer

Natural Gas Quantitative Developer

Citigroup, Inc.

Houston, TX • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

We are seeking a highly motivated and skilled quantitative developer to join our natural gas trading and fundamentals team. The ideal candidate is a technology-driven problem solver with a passion for building high-quality, robust software solutions. This role is focused on the design, development, and maintenance of desk tools that directly impact trading strategy and analytics. While experience in energy markets is a significant plus, the most critical requirement is a strong background in software engineering and a proven ability to build effective applications.
Responsibilities:
  • Design, develop, and maintain high-performance desk tools for trade signal generation, risk management, and data visualization.
  • Implement and productionize quantitative models developed by the fundamentals and trading team.
  • Build and automate robust, scalable data pipelines using Python and SQL to process market, weather, and storage data.
  • Develop and maintain dynamic web-based dashboards and visualization tools for the trading group using frameworks like Dash, Plotly, or React.
  • Collaborate closely with traders and quantitative analysts to understand their needs and translate requirements into effective software solutions.
  • Build a culture of responsible finance, good governance and supervision, expense discipline, and ethics.
  • Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services.
  • Adhere to all policies and procedures as defined by your role which will be communicated to you.
  • Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe.

Qualifications:
  • 3-8 years of experience in a quantitative development role. Experience in a financial or trading environment is a strong plus.
  • Expert proficiency in Python and software engineering best practices.
  • Proven experience building and maintaining front-end applications or complex dashboards.
  • Experience working with large datasets, APIs, relational databases (SQL) and/or cloud infrastructure.
  • Strong understanding of time series analysis, statistical modeling, and machine learning techniques.
  • Experience leveraging AI-assisted development and analytical tools is a plus.
  • Knowledge of U.S. natural gas markets, infrastructure, or other energy markets is a significant plus but not a mandatory prerequisite for a strong developer.
  • Excellent communication skills and a collaborative mindset.

Education:
  • Bachelor's/University degree, Master's degree preferred.

Job Family Group:
Institutional Trading
Job Family:
Trading
Time Type:
Full time
Primary Location:
Houston Texas United States
Primary Location Full Time Salary Range:
$175,000.00 - $250,000.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
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