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Quantitative Software Engineer Jobs in Utah (NOW HIRING)

Lead AI Engineer

Pleasant Grove, UT ยท On-site

$170 - $215/hr

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience) * 8+ years of software engineering experience, with demonstrated ...

Calypso Developer

Midvale, UT ยท On-site

$55 - $60/hr

Collaborate with business users, quantitative analysts, risk management, operations, architects ... enterprise software development experience, including at least 3 years of hands-on Calypso ...

Langan provides expert land development engineering and environmental consulting services for major ... Knowledge of quantitative/technical analyses and related software; * Possess an entrepreneurial and ...

Senior Cost Engineer Analyst

UT ยท On-site

$76K - $97K/yr

... software cost estimating. * Additional support includes, but is not limited to, the areas of ... Excellent verbal communication, written, and quantitative analytical skills are required.

Identify impactful opportunities using quantitative and qualitative data * Work with a cross-functional team of designers, writers, software engineers, data scientists, quality assurance engineers ...

... estimating/engineering support directly interfacing with program offices and assisting the ... We are seeking individuals with excellent quantitative and analytical skills for intermediate level ...

Showing results 41-60

Quantitative Software Engineer information

See Utah salary details

$10K

$118K

$180.3K

How much do quantitative software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative software engineer in Utah is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $126,100.00 per year, depending on experience, location, and employer.

What is a quantitative software engineer?

Quantitative Software Engineers are professionals who design, develop, and maintain software systems for quantitative analysis, often in finance, trading, or research environments. They combine expertise in mathematics, statistics, and computer science to build models and algorithms that analyze large data sets, optimize trading strategies, or automate decision-making processes. Their work involves close collaboration with quantitative analysts (quants) and requires strong programming skills, typically in languages like Python, C++, or Java. The role is key in ensuring that quantitative models are efficiently implemented and scalable for real-world applications.

What does a quantitative software engineer do?

As a quantitative software engineer, your responsibilities are to design and build tools to develop a platform for clients for the purpose of enhancing various processes they have. To achieve this, you apply advanced analytics and concepts to develop system solutions. Your duties also include researching the computer-software development lifecycle and modeling new products to supplement the software. You assist clients with the quality and timeliness of research, analysis, and development while focusing on best practices. In this role, you typically work with your team and the client to develop, validate, and implement product and software solutions.

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

To thrive as a Quantitative Software Engineer, you need a strong background in mathematics, statistics, computer science, and programming languages such as Python, C++, or Java, typically supported by a relevant degree. Proficiency with data analysis tools, quantitative libraries, and version control systems like Git is essential, and knowledge of financial modeling or algorithmic trading platforms is often required. Strong problem-solving abilities, attention to detail, and effective teamwork distinguish top performers in this field. These skills are crucial for building robust, efficient systems that support data-driven decision-making in high-stakes environments.

How does a quantitative software engineer typically collaborate with researchers and traders in a financial firm?

Quantitative Software Engineers work closely with quantitative researchers and traders to design, implement, and optimize trading algorithms and analytics tools. They often translate research prototypes into robust, production-ready code, ensuring that strategies can be executed efficiently and reliably in real market conditions. Regular collaboration involves participating in cross-functional meetings, gathering requirements, and providing technical feedback to improve both performance and usability of systems. This collaborative environment helps ensure that trading strategies are not only innovative but also technically sound and scalable.

What is the difference between Quantitative Software Engineer vs Quantitative Analyst?

AspectQuantitative Software EngineerQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related field; coding skillsDegree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and infrastructureBuilds financial models, analyzes market data, and advises on investment strategies
Industry UsageTechnology-driven financial firms, hedge funds, trading firmsInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Quantitative Software Engineers focus on developing software systems and tools used in trading and risk management, whereas Quantitative Analysts primarily analyze data and develop models to inform investment decisions. The roles often collaborate but differ in technical focus and daily tasks.

What are popular job titles related to Quantitative Software Engineer jobs in Utah?

For Quantitative Software Engineer jobs in Utah, the most frequently searched job titles are:

What are popular job titles related to Quantitative Software Engineer jobs in UT?

For Quantitative Software Engineer jobs in UT, the most frequently searched job titles are:

Infographic showing various Quantitative Software Engineer job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,044 per year, or $56.8 per hour.

Lead AI Engineer

Veracityinsurance

Pleasant Grove, UT โ€ข On-site

$170 - $215/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

At Veracity, we aim to be a different kind of insurance partner โ€“ one that is free from outside investors, venture capital, or the pressures of a corporate parent.

Ours is a culture of empowerment โ€“ one that believes in effort, results, and accountability. We believe that transparency fosters trust, trust fosters growth, and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.

We answer only to the small business owners we serve, and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-inโ€‘class insurance policies.

Weโ€™re growing fast and want you to be a part of it!

We are seeking a Lead AI Engineer to serve as our organizationโ€™s foremost technical authority on artificial intelligence strategy, architecture, and adoption. At Veracity, that means shaping how AI is built and scaled across a customerโ€‘facing digital insurance platform serving small business owners nationwide โ€“ from how we surface coverage recommendations to how we prepare for a world where AI agents increasingly research and purchase insurance on behalf of human customers.

This is not a people management role โ€“ it is a systems leadership role. You will act as the connective tissue between engineering, product, and business leadership, making and owning the highโ€‘stakes technical decisions: build vs. buy, platform selection, architectural patterns, and AI tooling standards. You will bring structure and discipline to our AI practice while operating with the urgency and adaptability of a fastโ€‘moving, independent company.

Key Responsibilities Technical Strategy & Direction
  • Define the AI engineering roadmap and architecture standards across the organization
  • Lead build vs. buy vs. integrate decisionโ€‘making for AI systems and platforms โ€“ and be accountable for articulating how you arrived at those decisions
  • Evaluate emerging tools, frameworks, and models; provide clear, defensible recommendations to leadership
  • Serve as the ultimate technical escalation point for complex AI/ML system design challenges
  • Architect AI solutions for our enterprise platform โ€“ which has already been substantially rebuilt and requires thoughtful evolution, not groundโ€‘up construction
  • Design systems for scale, reliability, and costโ€‘efficiency in production environments
  • Establish LLMOps practices โ€“ evaluation and regression suites for LLMโ€‘powered features, cost and quality observability, versioned prompts/configs with staged rollout and rollback, and production guardrails
  • Ensure AI systems integrate cleanly with existing product and engineering infrastructure
Crossโ€‘Functional Collaboration
  • Partner closely with Product and Engineering leadership to align AI capabilities with business outcomes
  • Receive operational support to help initiate and coordinate crossโ€‘functional engagement, allowing you to stay focused on technical leadership and decisionโ€‘making
  • Provide clear guidance on resource allocation โ€“ who owns what, who should be engaged, and in what sequence
  • Translate complex technical concepts for nonโ€‘technical audiences, including executives and business stakeholders
  • Challenge direction constructively and push back on approaches that compromise longโ€‘term system health
AI Coding & Process Transformation
  • Champion and introduce AIโ€‘assisted coding practices and developer tooling across the engineering organization
  • Define standards for responsible AI development including guardrails, evaluation frameworks, and security considerations
  • Drive continuous improvement in how the organization builds and ships AIโ€‘powered features
What This Role Is Not

This is not a people manager role. You will not carry direct reports or be evaluated on team headcount. You may provide technical direction to contributors, but managing people is the exception, not the expectation.

Requirements and Qualifications Required
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
  • 8+ years of software engineering experience, with demonstrated mastery designing and shipping production systems where correctness, reliability, and auditability matter
  • 2+ years building production LLM/GenAI and agentic systems, plus fluency with AIโ€‘assisted coding tooling and the judgment to set orgโ€‘wide standards, evals, and guardrails for AIโ€‘generated code
  • Sound judgment about where AI belongs and where it must not โ€“ comfortable with probabilistic agents for customerโ€‘facing and research tasks, while keeping policy binding, money movement, and compliance flows deterministic, auditable, and humanโ€‘governed
  • Experience making and communicating build vs. buy vs. integrate decisions at an organizational level
  • Proficiency in Python and the modern GenAI application stack โ€“ agent/orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalents), modelโ€‘provider SDKs, vector databases, and evaluation tooling
  • Exceptional written and verbal communication skills โ€“ you can write a crisp architecture decision record and present it to a boardโ€‘level audience
Preferred
  • Experience in a technical lead or principal engineer role with broad organizational influence
  • Background working closely with product engineering teams in a dualโ€‘track agile model
  • Familiarity with RAG architectures, vector databases, and semantic search at scale
  • Experience with AI cost management, observability, and governance frameworks
  • Health, dental, and vision plans
  • Amazing workโ€‘life balance with 4 weeks of Paid Time Off
  • 10 Paid Company Holidays with 2 floating holidays
  • 401K Programs with employer match
  • Personal assistance programs for support in a healthy personal and work life
Why Veracity?

Here at Veracity, youโ€™ll be part of a team of trailblazers and visionaries. Weโ€™re not just revolutionizing the way people โ€œdoโ€ insurance; we are creating a whole new paradigm. Here, you will experience a vibrant and inclusive workplace where your ideas matter! With us, you have a chance to:

  • Engage in groundbreaking projects that are reshaping the insurance landscape
  • Collaborate with a group of dedicated, likeโ€‘minded professionals
  • Experience a culture that prioritizes growth and development
Compensation Range: $170k/yr - $215k/yr

We are proud to be an equalโ€‘opportunity employer. We are committed to providing equal opportunities to all qualified applicants, regardless of race, color, religion, sex, national origin, disability, or any other legally protected characteristics. If you need accommodation, please let us know during the interview process.

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