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Quantitative Associate Jobs in Utah (NOW HIRING)

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

Details Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc Working ... Multiomics: singlecell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics.

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

Announcement Details Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc ... Multi-omics: single-cell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics.

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Quantitative Associate information

See Utah salary details

$28.2K

$82.5K

$132.9K

How much do quantitative associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative associate in Utah is $82,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $108,300.00 per year, depending on experience, location, and employer.

How do Quantitative Associates typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

What jobs make $1,000,000 a year?

In the finance industry, senior roles such as hedge fund managers, private equity partners, and investment bankers can earn $1,000,000 or more annually, often through a combination of salary, bonuses, and profit sharing. Quantitative associates working in hedge funds or proprietary trading firms with successful strategies and significant assets under management may also reach this level, especially with performance-based incentives and advanced skills in data analysis and programming. High earnings typically require extensive experience, strong performance, and often a high level of education or certifications.

What is a quantitative associate?

A quantitative associate is a financial professional who applies mathematical, statistical, and programming skills to analyze data and develop models for trading, risk management, or investment strategies. They often work with tools like Python, R, or MATLAB and require strong analytical abilities and knowledge of finance or economics. The role typically involves collaboration with traders and analysts in a fast-paced environment.

What are the 4 types of quants?

Quantitative associates typically fall into four main categories: sell-side quants who develop trading models, buy-side quants who analyze investment strategies, risk quants who assess financial risks, and technology quants who build computational tools. These roles often require strong programming skills, statistical knowledge, and a solid understanding of financial markets.

Do quants make a lot of money?

Quantitative associates typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit sharing, with total earnings varying based on experience, firm size, and performance.

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

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What are Quantitative Associates?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative jobs in Utah? The most popular types of Quantitative jobs in Utah are:
What are popular job titles related to Quantitative Associate jobs in Utah? For Quantitative Associate jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Quantitative Associate jobs in Utah look for? The top searched job categories for Quantitative Associate jobs in Utah are:
What cities in Utah are hiring for Quantitative Associate jobs? Cities in Utah with the most Quantitative Associate job openings:
Quantitative Associate jobs near you
Infographic showing various Quantitative Associate job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,461 per year, or $39.6 per hour.
Risk - Salt Lake City - Associate, Software Engineering - 777858

Risk - Salt Lake City - Associate, Software Engineering - 777858

Goldman Sachs

Salt Lake City, UT

Other

Posted 27 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description

Job Duties: Associate, Software Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Provide data-driven insights and effective technologies for firmwide risk management. Identify, design, and implement the best means of delivering risk information through compelling narratives, tools and visualizations to increase understanding and awareness of risk. Assist with innovating and designing new analytics and visuals, leveraging internal and external programming languages and software. Analyze, visualize, and oversee sets of data used in risk management and control functions. Provide a quantitative application to storytelling, leveraging risk engineering processes to maximize significance, quality, efficiency, speed, and reliability while ensuring clear accountability and attribution. Perform anomaly detections in large data sets, investigating the cause and recommending corrective actions. Work in close collaboration with bankers, traders, and portfolio managers as well as risk modelers and technology across the firm.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or a related field and one (1) year of experience in the job offered or in a related field OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or a related field and three (3) years of experience in the job offered or in a related field. Prior employment must include one (1) year (with Master's degree) or three (3) years (with Bachelor's degree) with: working with users to understand business requirements to design and develop low-cost and adoptive technical solutions; risk management at a large financial institution or a consulting organization, including experience in liquidity, regulatory, or credit risk; querying and aggregating data from a database, performing trend analysis, and visualizing results within a dashboard for the analysis of financial models used in credit risk management; examining risk factors impacting credit exposure; analyzing and explaining market trends to senior risk managers and financial regulators; and working with data management, including data flows, data mining, or data modeling.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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