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Quantitative Associate Jobs in Wallingford, CT (NOW HIRING)

Yale Cancer Center

Associate Director

New Haven, CT · On-site

$100 - $130/hr

Overview The Associate Director (AD) provides clinical finance and administration leadership for the Department of Psychiatry, reporting to the Director of Clinical Administration. The AD supports

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All JobsQuantitative Associate JobsQuantitative Associate Jobs in Wallingford, CT

Quantitative Associate information

See Wallingford, CT salary details

$31.1K

$90.8K

$146.4K

How much do quantitative associate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quantitative associate in Wallingford, CT is $90,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $119,300.00 per year, depending on experience, location, and employer.

What is a quantitative associate?

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.

How does a quantitative associate 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 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 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 cities near Wallingford, CT are hiring for Quantitative Associate jobs?

Cities near Wallingford, CT with the most Quantitative Associate job openings:

Quantitative Associate jobs near you

Assistant/Associate/Full Professor, Quantitative Political Science

Yale University

New Haven, CT • On-site

Full-time

Re-posted 23 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

69th of 621 rated colleges and universities

Job description

Description
The Department of Political Science at Yale University is seeking to hire multiple faculty members with expertise in Quantitative Political Science at the rank of Assistant, Associate, or Full Professor with substantive expertise in American Politics, Comparative Politics, Political Economy, International Relations, or the intersection of these fields, beginning July 1, 2026. These are not positions solely in quantitative methodology; we instead seek scholars who would be comfortable teaching courses in quantitative research methods and who applies methods of quantitative political science to applied questions in their area of expertise.
If candidates are appointed at the untenured level, the initial appointment will be for 5 years. The teaching expectation is normally 3 courses per academic year.
Qualifications
Ph.D. or equivalent degree required at time of hire.
Application Instructions
All applications must include a cover letter, CV, and a list of 3 references. Untenured candidates should also supply 3 recommendation letters, 2 writing samples, and separate short (2 pages or less) research and teaching statements. All materials should be uploaded to Interfolio at http://apply.interfolio.com/172152. Review of applications will begin on October 3, 2025, and to guarantee full consideration your file should be complete by this date.
Please contact Kelsey Kanavy, Sr. Administrative Assistant for the Political Science Department, at kelsey.kanavy@@yale.edu if you have questions about the application process.

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