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Quantitative Associate Jobs in Provo, UT (NOW HIRING)

Required Education and Experience: · Bachelor's degree in mathematics, actuarial science, statistics, or related quantitative field. · A minimum of four years of experience in property and casualty ...

Senior Associate, Tax Delivery

Sandy, UT · On-site

$77K - $96K/yr

High attention to detail: written and quantitative. You must be confident navigating your way around complex tax structures and documentation in relation to this. * Organized and calm under pressure ...

Senior Associate, Tax Delivery

Sandy, UT · On-site

$77K - $96K/yr

High attention to detail: written and quantitative. You must be confident navigating your way around complex tax structures and documentation in relation to this. * Organized and calm under pressure ...

Analyze qualitative and quantitative data to identify themes, trends, and meaningful takeaways ... Support Associate Analysts by providing feedback on structure, clarity, and analytical thinking.

Analyze qualitative and quantitative data to identify themes, trends, and meaningful takeaways ... Support Associate Analysts by providing feedback on structure, clarity, and analytical thinking.

Proven quantitative and analytical skill set. Grade/Level: 12 The salary range for this position is ... Once this new hire time in position requirement is met, the associate will have a minimum 6 months ...

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Quantitative Associate information

See Provo, UT salary details

$29.7K

$86.7K

$139.7K

How much do quantitative associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for quantitative associate in Provo, UT is $86,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $113,900.00 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 popular job titles related to Quantitative Associate jobs in Provo, UT? For Quantitative Associate jobs in Provo, UT, the most frequently searched job titles are:
What cities near Provo, UT are hiring for Quantitative Associate jobs? Cities near Provo, UT with the most Quantitative Associate job openings:
Infographic showing various Quantitative Associate job openings in Provo, UT as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $86,697 per year, or $41.7 per hour.
Actuarial Associate

$130K/yr

Full-time

Posted 18 days ago


Job description

Job Summary:

We are seeking a Homeowners Assistant Actuary to join our Product Team at a high-growth personal homeowners insurance company. As a Homeowners Assistant Actuary at Bamboo Insurance, you will contribute to shaping our insurance products and pricing strategies under the guidance of senior actuarial staff. You will work collaboratively with cross-functional teams to help ensure that our homeowners insurance offerings are competitive, compliant with regulatory requirements, and financially sound. This is an exciting opportunity for a business-minded actuarial professional who combines strong analytical capabilities with a strategic, results-oriented mindset and exceptional organizational skills. This role will have a focus on Homeowners pricing for both our existing programs as well as new state expansion. The ideal candidate brings not only technical actuarial expertise but also the ability to translate data-driven insights into clear business recommendations, manage competing priorities effectively, and drive initiatives forward in a fast-paced, growth-oriented environment. We are open to candidates across a range of experience levels and will calibrate the role accordingly.

Duties/Responsibilities:

· Lead and support the development and refinement of pricing strategies and models for homeowners insurance products, ensuring profitability, market competitiveness, and alignment with broader business objectives.

· Perform actuarial analyses, including rate indications and rate filings, in accordance with state regulatory requirements.

· Act as a strategic business partner to underwriting, product management, claims, and compliance teams — leading the design and modification of insurance products based on market insights, data analytics, and business priorities.

· Apply advanced actuarial techniques, statistical methods, and modeling to forecast and clearly communicate the business impact of pricing, underwriting, and product changes to both technical and non-technical audiences.

· Extract, manipulate, and analyze large datasets using SQL and Python to support pricing, reserving, and risk modeling initiatives for homeowners insurance.

· Own and manage multiple workstreams simultaneously, maintaining organized project plans, timelines, and documentation to keep stakeholders informed and deliverables on track.

Required Skills/Abilities:

· Strong business acumen with the ability to translate complex actuarial analyses into actionable business recommendations. Comfortable influencing decisions across all levels of the organization.

· Solid foundational knowledge of homeowners insurance products and pricing

· Experience with predictive modeling and advanced analytics techniques, including machine learning

· Excellent communication skills to convey complex actuarial concepts to non-actuarial stakeholders.

· Exceptional organizational skills, with a proven ability to manage multiple priorities, maintain structured workflows, and consistently meet deadlines in a fast-paced environment.

Required Education and Experience:

· Bachelor's degree in mathematics, actuarial science, statistics, or related quantitative field.

· A minimum of four years of experience in property and casualty insurance, with a focus on personal lines insurance

· Strong proficiency in actuarial and data analysis tools (e.g., Excel, SQL, Python).

· Experience with regulatory filings and interacting with state insurance departments

Preferred Requirements:

· Prior experience working with homeowners insurance products

· Familiarity with regulatory filing processes, including experience interacting with state regulators.

· ACAS or near-ACAS

· Experience with cat modeling and using the outputs of cat models in pricing

Physical Requirements:

· Prolonged periods of sitting at a desk and working on a computer

Salary: Starting at $130,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer.