2

Remote Risk Quant Jobs in Kansas (NOW HIRING)

Catastrophe Risk Modeler

Kansas City, KS ยท On-site +1

$125K - $162K/yr

This is a full-time remote position. Residency within the United States is required ... Bachelor's or master's degree in a quantitative or technical field such as applied mathematics ...

Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated ... or a related quantitative field * Deep expertise in remote sensing and geospatial analysis ...

$104K - $134K/yr

StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada and the ... A blend of UX research & market research experience: alongside qualitative & quantitative UX ...

Posted today

Data Analyst

Overland Park, KS ยท Remote

$2.5K/yr

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work ...

$35/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Posted today

$35/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Posted today

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

New

$35/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Posted today

$35/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Posted today

Remote Risk Quant information

What is a remote risk quant?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.

What are some common challenges faced by remote risk quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

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

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are popular job titles related to Remote Risk Quant jobs in Kansas?

For Remote Risk Quant jobs in Kansas, the most frequently searched job titles are:

Catastrophe Risk Modeler

Naic

Kansas City, KS โ€ข On-site, Remote

$125K - $162K/yr

Full-time

Posted 5 days ago


Job description

Job Description:

The Regulatory Affairs division of the National Association of Insurance Commissioners (NAIC) has an exciting opportunity for a Catastrophe Risk Modeler. The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This position uses commercial catastrophe models, insurance and notional exposure datasets, and other analytical tools to help states prioritize resilience initiatives, mitigation programs, grant funding, and other investments based on hazard, exposure, vulnerability, mitigation potential, and expected loss reduction. This is a full-time remote position. Residency within the United States is required.

Responsibilities Include

  • Works with the Sr. Catastrophe Risk Modeler and Sr. Manager of CAT Modeling Center of Excellence to execute assigned catastrophe modeling projects, including identifying appropriate data and models, selecting methodologies, establishing assumptions, designing quality-control procedures such as documentation and validation/peer-review, managing technical timelines, and communicating results and limitations.
  • Executes complex catastrophe model analyses involving multiple vendor platforms, perils, geographic regions, portfolios, or regulatory applications. Evaluates differences among models and scenarios through sensitivity testing, uncertainty analysis, benchmarking, and reconciliation of results.
  • With guidance from the Sr. Catastrophe Risk Modeler, prepares and validates exposure data, configures and executes catastrophe model runs, conducts quality assurance and reasonableness reviews, analyzes model outputs, and articulates model limitations.
  • Works on the development of analytical tools, interactive dashboards, maps, tables, charts, and other visual products using platforms such as Tableau, Power BI, and ArcGIS.
  • Assists in delivering regulator education, including introductory programs such as CAT 101 and advanced training on model components, assumptions, uncertainty, validation, and regulatory applications.
  • Assists in evaluating new catastrophe model versions, data sources, analytical tools, artificial intelligence applications, and emerging methodologies.

Minimum Education and/or Experience Required

  • Bachelor's or master's degree in a quantitative or technical field such as applied mathematics, actuarial science, statistics, data science, insurance, risk management, engineering, physics, atmospheric science, geography, geospatial science, or a related discipline is required and 5+ years of experience in delivering complex catastrophe modeling, data analysis, geospatial analysis, or applied risk analytics, including significant experience within property insurance, reinsurance, catastrophe risk, or a closely related field or an equivalent combination of education and experience.
  • Hands-on experience with at least one recognized commercial catastrophe modeling platform, such as Moody's RMS, Verisk, or another comparable vendor platform, is required. Experience should include preparing model data, configuring and executing analyses, evaluating results, and communicating model assumptions and limitations.
  • Proficiency with Microsoft Excel, SQL, GIS tools (e.g., ArcGIS), cloud analytics, and at least one programming or statistical language, such as Python, R, or SAS, is required.
  • Strong written and verbal communication skills are required, including the ability to explain complex catastrophe modeling concepts and analytical conclusions to regulators, executives, technical experts, and nontechnical audiences.
  • Knowledge of emerging risks, including physical climate risk, casualty catastrophe risk, or cyber catastrophe risk, is beneficial.

Preferred Experience

  • Relevant professional credentials-such as CPCU, CEEM, CCRA, CSCR, CCRMP, ARM, ARe, or actuarial designation.

Systems & Technology Requirements

  • Microsoft Office Suite
  • GIS tools
  • At least one programming or statistical language

Travel

This position requires regular, out-of-state, overnight travel in support of member meetings and events throughout the year. Must be able and willing to travel to locations throughout the United States and with such frequency as necessary to meet the needs of this position and the Association. Estimated travel is up to 30%.

Compensation

$125,000 - $162,000 commensurate with education and experience.

Sponsorship

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for more information.

The NAIC is proud to be an Equal Opportunity Employer

Applicants for all positions are considered without regard to age, race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin or ancestry, marital status, pregnancy, genetic information, military or veteran status, disability, or any other basis protected by applicable law.