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Associate Quantitative Analyst Jobs in Utah (NOW HIRING)

University of Utah

Research Associate

Salt Lake City, UT · On-site

$70K - $110K/yr

Announcement Details Open Date 04/24/2026 Requisition Number PRN44738B Job Title Research Associate ... Clean, manage, and analyze quantitative data using standard statistical approaches (e.g., means ...

University of Utah

Research Associate

Salt Lake City, UT · On-site

$50K - $100K/yr

Announcement Details Open Date 03/12/2026 Requisition Number PRN44458B Job Title Research Associate ... Oversees and conducts qualitative & quantitative analyses: * Employs methods to identify a priori ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$15 - $18.75/hr

Preferred candidates will bring experience in either qualitative or quantitative research methods ... Quantitatively, they should be able to support instrument validation and psychometric analysis ...

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Associate Quantitative Analyst information

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

To thrive as an Associate Quantitative Analyst, you need strong analytical skills, advanced proficiency in mathematics and statistics, and typically a degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of data analysis platforms are commonly required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These skills are crucial for developing accurate models, providing actionable insights, and supporting data-driven decision-making in complex financial environments.

What are some common challenges an Associate Quantitative Analyst faces when transitioning from academia to industry?

One common challenge for Associate Quantitative Analysts moving from academia to industry is adapting to the fast-paced, results-driven environment where deadlines and business impacts are prioritized over theoretical exploration. Unlike academic research, industry projects often require quick, practical solutions and effective communication with non-technical stakeholders. Additionally, analysts may need to balance multiple projects simultaneously and collaborate closely with teams such as risk management, IT, and trading desks. Developing strong project management and communication skills can help ease this transition.

What does an Associate Quantitative Analyst do?

An Associate Quantitative Analyst is responsible for applying mathematical, statistical, and analytical methods to financial and risk management problems. Their tasks often include building financial models, analyzing large datasets, and supporting senior analysts or portfolio managers with data-driven insights. They typically use programming languages like Python, R, or MATLAB to develop algorithms and test investment strategies. Associate Quantitative Analysts play a crucial role in helping organizations make data-informed decisions in areas such as trading, asset management, and risk assessment.

What is the difference between Associate Quantitative Analyst vs Quantitative Analyst?

AspectAssociate Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sBachelor's or master's degree in quantitative fields; often more experience required
Work EnvironmentEntry-level position in finance or investment firms, supporting senior analystsMid-level role, involved in developing models and strategies in finance firms
Employer & Industry UsageCommon in asset management, hedge funds, investment banksUsed across similar financial institutions, often as a step toward senior roles

The Associate Quantitative Analyst typically holds an entry-level position with a focus on supporting quantitative teams, while a Quantitative Analyst usually has more experience and takes on more complex modeling tasks. Both roles are essential in financial analysis, but the associate role often serves as a stepping stone to becoming a full Quantitative Analyst.

What are the most commonly searched types of Quantitative Analyst jobs in Utah? The most popular types of Quantitative Analyst jobs in Utah are:
What are popular job titles related to Associate Quantitative Analyst jobs in Utah? For Associate Quantitative Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Associate Quantitative Analyst jobs in Utah look for? The top searched job categories for Associate Quantitative Analyst jobs in Utah are:
What cities in Utah are hiring for Associate Quantitative Analyst jobs? Cities in Utah with the most Associate Quantitative Analyst job openings:
Associate Quantitative Analyst jobs near you
Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Goldman Sachs, Inc.

Salt Lake City, UT

Other

Posted yesterday

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance. 

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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