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Quantitative Analyst Jobs in Nebraska (NOW HIRING)

Operations Research Systems Analyst (ORSA)

Omaha, NE · On-site

$94K - $111K/yr

This position applies operations research methodologies, quantitative analysis, modeling, and simulation techniques to evaluate complex operational challenges and provide data-driven recommendations ...

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

Performs quantitative analysis and identifies deficiencies in inpatient, outpatient and behavioral health medical records. * Notifies providers of deficiencies and performs a quantitative check on ...

Performs quantitative analysis and identifies deficiencies in inpatient, outpatient and behavioral health medical records. * Notifies providers of deficiencies and performs a quantitative check on ...

Sr Actuarial Analyst

Omaha, NE · On-site +1

$63K - $92K/yr

Quantitative analysis supporting enterprise risk assessments * May participate on a cross-division or cross-function project team. * Meets expectations for attendance and punctuality in accordance ...

Two to four years of relevant experience in data science, analytics, actuarial support, or related quantitative roles * A master's degree may be considered in lieu of one to two years of experience

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

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Quantitative Analyst information

See Nebraska salary details

$53.9K

$127.6K

$228.8K

How much do quantitative analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for quantitative analyst in Nebraska is $127,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $138,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

What Does a Quantitative Analyst Do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in financial firms and hedge funds. Experience, education, and technical proficiency influence earning potential significantly.

How does a Quantitative Analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What are Quantitative Analysts?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, to develop models for trading, risk management, and investment strategies. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm offers roles across various divisions, including investment banking and asset management.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trends, assess risks, and optimize portfolios in finance or trading environments.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

Will AI replace quant analysts?

AI is transforming quantitative analysis by automating data processing and modeling tasks, but it is unlikely to fully replace quant analysts. Instead, AI tools are expected to augment their work, requiring analysts to develop skills in programming, machine learning, and data interpretation to stay relevant in the evolving field.
What are the most commonly searched types of Quantitative Analyst jobs in Nebraska? The most popular types of Quantitative Analyst jobs in Nebraska are:
What are popular job titles related to Quantitative Analyst jobs in Nebraska? For Quantitative Analyst jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Quantitative Analyst jobs? Cities in Nebraska with the most Quantitative Analyst job openings:
What are popular job titles related to Quantitative Analyst jobs in NE? For Quantitative Analyst jobs in NE, the most frequently searched job titles are:
Infographic showing various Quantitative Analyst job openings in Nebraska as of July 2026, with employment types broken down into 83% Full Time, 11% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $127,645 per year, or $61.4 per hour.
Operations Research Systems Analyst (ORSA)

Operations Research Systems Analyst (ORSA)

Leidos

Omaha, NE • On-site

$94K - $111K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

67th of 488 rated business services


Job description

Join a mission where your contributions count!
At Leidos, innovation is at the heart of everything we do. Powered by a team as diverse as it is talented, we're driven by a shared passion for delivering bold solutions that fuel our customers' success. We believe in empowering our people, giving back to our communities, and leading with sustainability. Every action we take is grounded in integrity and a steadfast commitment to doing what's right-for our customers, our teams, and the world around us. Our Mission, Vision, and Values aren't just words-they're the compass guiding our journey toward a brighter future.
If this sounds like the kind of environment where you can thrive, keep reading!
The Defense Sector within Leidos develops and produces advanced space, aerial, surface, and sub-surface manned and un-manned capabilities. Our Business Area delivers smart, integrated, mission-ready solutions that enhance military intelligence operations and accelerate decision advantage for the warfighter. We achieve this through advanced platform and systems integration, rapid systems modernization, repeatable mission software offerings, and intelligence and data rationalization that turns information into actionable insight.
Leidos is seeking an Operations Research Systems Analyst (ORSA) to provide advanced analytical support to United States Strategic Command (USSTRATCOM) decision-making, planning, assessment, and operational analysis activities at Offutt Air Force Base. This position applies operations research methodologies, quantitative analysis, modeling, and simulation techniques to evaluate complex operational challenges and provide data-driven recommendations that support strategic and operational objectives. The selected candidate will work closely with planners, analysts, and senior leaders to assess operational effectiveness, evaluate strategic risks, analyze force employment options, and examine campaign impacts. The role requires the ability to develop innovative analytical approaches, apply rigorous quantitative methods, and translate complex analytical findings into actionable insights for decision-makers.
Note: This position is part of a prospective contract, contingent upon final award. Anticipated award date: August 2026.
Primary Responsibilities
The ORSA supports strategic planning, operational assessments, and analytical studies through the application of operations research principles and methodologies. Responsibilities include developing, adapting, and applying quantitative models, statistical analyses, simulation techniques, forecasting methodologies, and analytical frameworks to evaluate operational performance and support decision-making.
The selected candidate will conduct complex analyses involving operational effectiveness, strategic risk, resource allocation, force employment alternatives, and campaign outcomes. The position requires identifying and evaluating alternative courses of action, assessing potential impacts, and providing objective recommendations based on analytical findings.
The ORSA will support the design and implementation of data collection methodologies, perform statistical and systems analyses, develop analytical products, and contribute to operational assessments and strategic studies. This role also involves collaborating with multidisciplinary teams to address complex organizational challenges, improve analytical processes, and support the development of innovative solutions.
Additionally, the position supports Agile project execution through participation in sprint planning, backlog refinement, retrospectives, and other collaborative development activities. The ORSA will work within established schedules and resource constraints while ensuring analytical products meet organizational requirements and decision-maker needs.
Required Qualifications
  • Active TS/SCI with eligibility for NC2/ESI and Special Access Program (SAP) access (or ability to obtain within required timeframe).
  • Minimum of ten (10) years of experience applying a broad range of operations research methods, analytical techniques, and quantitative methodologies.
  • Bachelor's degree or higher in Operations Research, Data Science, Data Analytics, Business Analytics, Computer Science, Mathematics, Actuarial Science, Engineering, or a related quantitative discipline.
  • Demonstrated expertise developing, adapting, modifying, and applying quantitative models to solve complex operational problems and evaluate alternative solutions.
  • Experience conducting statistical analysis, systems analysis, simulation modeling, forecasting, and operational research studies.
  • Proven ability to develop and implement data collection methodologies that support analysis, modeling, and decision-making.
  • Experience participating in multidisciplinary study teams and collaborating across functional areas to deliver actionable insights.
  • Demonstrated ability to originate new analytical approaches, methodologies, and projects that address complex organizational challenges.
  • Experience executing projects and analytical studies within established financial, schedule, and resource constraints.
  • Proficiency in Python and R for statistical analysis, modeling, simulation, and quantitative computation.
  • Familiarity with Agile methodologies, including participation in sprint planning, backlog grooming, and retrospective activities.
  • Strong written and verbal communication skills, including experience presenting analytical findings to senior leaders and stakeholders.

AMSOPP1
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 8, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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