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Quant Engineer Salary Jobs in Draper, UT (NOW HIRING)

Raytheon

Program Affordability Lead Engineer

Provo, UT · On-site

$97K - $127K/yr

Experience performing quantitative analysis using analytical tools or methods. * Experience working ... The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good ...

Judge Group, Inc.

Calypso Developer

Midvale, UT · On-site

$55 - $60/hr

Midvale, UT Salary: $55.00 USD Hourly - $60.00 USD Hourly Description: About the Role We are ... Collaborate with business users, quantitative analysts, risk management, operations, architects ...

Bamboo Insurance

Senior State Manager

Midvale, UT · On-site

$160K/yr

Bachelor's degree in a quantitative or business field (e.g., Mathematics, Finance, Engineering ... Salary: * Starting at $160,000 annually. Candidate's skills, experience and abilities will be taken ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

Collaborate with Application Engineering teams to gather and process data and surface ... Competitive total rewards (base salary + bonus, if applicable). * Customizable benefits package ...

Outsmart

Senior Learning Designer, Science

Lehi, UT · On-site

$100K - $170K/yr

You'll work closely with product managers, engineers, and fellow learning designers to build ... Data-informed iteration - interpreting qualitative and quantitative learner data to identify gaps ...

Brex

Underwriting Senior Analyst

Salt Lake City, UT · Hybrid

$65K - $82K/yr

Build and maintain relationships with key partners across Risk, Sales, Engineering, and Product to ... Familiarity with quantitative credit risk models, probability of default and loss given default ...

New

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or ... Salary Range (unless otherwise noted below): $125,400.00 - $200,600.00 Full Salary Range for ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering teams to gather and process data, as well as in ... Competitive total rewards (base salary + bonus, if applicable) * Customizable benefits package (3 ...

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing ... producing quantitative, justifiable results to guide feature planning * Translatesreal ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing ... producing quantitative, justifiable results to guide feature planning * Translatesreal ...

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All JobsQuant Engineer Salary JobsQuant Engineer Salary Jobs in Draper, UT

Quant Engineer Salary information

See Draper, UT salary details

$35.5K

$84.6K

$140.7K

How much do quant engineer salary jobs pay per year?

As of Sep 4, 2026, the average yearly pay for quant engineer salary in Draper, UT is $84,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a quant engineer salary?

A Quant Engineer, also known as a quantitative engineer, typically earns a salary ranging from $100,000 to $200,000 per year in the United States, depending on experience, education, and location. In major financial hubs like New York or London, total compensation, including bonuses, can exceed $250,000 annually. Factors such as the employer's size, industry (hedge funds, investment banks, tech firms), and individual performance also play significant roles in determining pay. Entry-level Quant Engineers may start on the lower end of the scale, while those with advanced degrees and several years of experience can command much higher salaries. Compensation packages often include bonuses, stock options, and other incentives.

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

To thrive as a Quantitative Engineer, you need strong mathematical modeling, statistical analysis, and programming skills, typically supported by a degree in quantitative fields such as mathematics, physics, computer science, or engineering. Proficiency with programming languages like Python, C++, and statistical tools such as MATLAB or R is commonly required, along with familiarity with financial databases and trading platforms. Outstanding problem-solving abilities, attention to detail, and effective teamwork are key soft skills for excelling in complex and dynamic environments. These skills are crucial for developing and implementing data-driven trading strategies that drive financial performance and manage risk.

What factors can influence the salary range for a quantitative engineer, and how do they typically progress with experience?

The salary for Quantitative Engineers can vary widely depending on factors such as level of education, years of experience, location, and the specific industry sector (e.g., finance, technology, hedge funds). Entry-level quant engineers may start with competitive base salaries, but total compensation can quickly rise with advanced degrees or specialized skills in machine learning, programming, or financial modeling. Additionally, bonuses and profit-sharing are common in finance, significantly enhancing overall pay. As quant engineers gain expertise, take on more project leadership, or move into senior or management roles, salary and benefits often increase accordingly.

What is the difference between Quant Engineer Salary vs Quant Analyst Salary?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; may also require programming knowledge
Work EnvironmentDevelops models, algorithms, and software for trading and risk managementAnalyzes data, develops trading strategies, and supports investment decisions
Employer & Industry UsageUsed in hedge funds, investment banks, and proprietary trading firmsCommon in asset management firms, hedge funds, and financial institutions

Quant Engineers typically have a stronger focus on software development and algorithm implementation, often earning higher salaries due to their technical expertise. Quant Analysts focus more on data analysis and strategy development. Both roles are vital in finance but differ in responsibilities and compensation levels.

What are popular job titles related to Quant Engineer Salary jobs in Draper, UT?

For Quant Engineer Salary jobs in Draper, UT, the most frequently searched job titles are:

What job categories do people searching Quant Engineer Salary jobs in Draper, UT look for?

The top searched job categories for Quant Engineer Salary jobs in Draper, UT are:

Quant Engineer Salary jobs near you
Infographic showing various Quant Engineer Salary job openings in Draper, UT as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $84,639 per year, or $40.7 per hour.

Forward Deployed Industrial Engineer, Defense Logistics AI

Tagup

Salt Lake City, UT

$135K - $165K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago

Key responsibilities

  • Embed with military logistics, supply, and maintenance operations to understand decision-making processes and identify opportunities for AI, automation, and instrumentation improvements.

  • Turn operational data into analyses, dashboards, and models that are used by customer leadership to inform their decisions.

  • Build and maintain data pipelines, ETL processes, and system integrations connecting customer logistics systems to the platform.

Job description

Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.

The Marine Corps moves people, parts, and equipment around the world on timelines that don't forgive guesswork. We build the AI systems that help them do it — reinforcement learning–based planning and optimization software deployed inside real military logistics operations, from Marine Logistics Groups to Blount Island Command.

This role sits at the seam between our software and the operations it runs on. You'll be the person who turns messy, real-world logistics and maintenance data into the signal that drives both better day-to-day decisions for our customers and a smarter product for everyone who comes after them. If you've ever wanted your analytical work to actually change how something operates — not just live in a dashboard nobody opens — this is that job.

Responsibilities
  • Embed with military logistics, supply and maintenance operations to understand how decisions get made today — and where AI, automation, and better instrumentation can change the math.
  • Turn operational data (logistics, maintenance, readiness, inventory) into the analyses, dashboards, and models that customer leadership actually uses to run their organizations.
  • Build the data pipelines, ETL, and integrations that connect customer ERP, MES, CMMS, and logistics systems to our platform — and keep them running in restricted environments.
  • Partner with our RL and platform engineers to translate operational reality into product: what the optimizer needs to know, what "good" looks like, and where our models are leaving value on the table.
  • Run the quantitative work behind capacity planning, forecasting, simulation, and process redesign — and then carry the recommendations across the finish line into deployed change.
  • Be the credible technical voice in front of senior military and civilian stakeholders who need to trust both you and the system.
Desired Skills
  • A degree in Industrial Engineering, Systems Engineering, Operations Research, or a closely related quantitative field.
  • 2+ years working on real operational problems — manufacturing, logistics, maintenance, supply chain, or similar — not just coursework or pure analytics.
  • Strong Python (pandas, NumPy, the usual suspects) and SQL chops. You can move from a question to a clean answer without three meetings in between.
  • Experience building dashboards people actually use (Power BI, Tableau, Grafana, or similar).
  • The ability to explain a model, a tradeoff, or a recommendation to someone who has never opened a Jupyter notebook — and have them leave the room more confident, not less.
  • US citizenship and the willingness to work toward a security clearance. Existing clearance is a plus, not a requirement.
Bonus Points
  • Prior work in defense, government, or other regulated environments — or military service yourself.
  • Cloud (AWS or Azure), APIs, ETL, and systems integration experience.
  • Background in optimization, statistical modeling, simulation, or applied ML.
  • Lean / Six Sigma fluency from somewhere it actually mattered.
  • Comfort working in austere or air-gapped environments.
What Success Looks Like in Year One
  • Customer decisions that used to run on spreadsheets and tribal knowledge are running on data you helped instrument.
  • The product team is shipping features that came directly from patterns you spotted on the ground.
  • Manual reporting that used to eat days of analyst time is automated and trusted.
  • When senior leadership at a customer command wants to know how their logistics operation is really performing, the answer comes from a system you helped build.
Salary
 
The estimated salary range for this position is between $135,000  and $165,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees’ experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.
 
As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company’s 401K plan, and foster a team-oriented work environment with regular company outings!
 
Why Join Us
 

  • The mission is real. Our software runs in front of people whose job is to keep the fleet moving — the consequences of getting it right are tangible.

  • Small team, high leverage. You'll have visibility from the engineering trenches to the executive team, and your work will compound.

  • Hard problems worth solving. Reinforcement learning applied to logistics at the scale of a military service is genuinely novel work.

  • Competitive comp, meaningful equity, and the kind of professional growth that comes from being trusted with big things early.


Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.

Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.