Discover Quantitative Research Analyst jobs with salaries of $100,000 and above on Ladders. These professionals use statistics, mathematics, programming, and financial or business knowledge to analyze data, test hypotheses, and develop models that support high-impact decisions. Browse vetted opportunities across finance, investment management, technology, and other data-driven industries.
Quantitative Research Analysts design and evaluate analytical methods to find patterns, measure risk, forecast outcomes, and inform strategy. Depending on the role, work may include building statistical models, analyzing financial markets, developing research tools, validating data, and communicating findings to investment or business teams.
Employers commonly seek strong quantitative reasoning and experience with statistics, econometrics, probability, and data analysis. Programming skills in languages such as Python, R, or C++ may be valuable, along with familiarity with SQL, machine learning, financial instruments, or specialized research platforms. Many positions prefer an advanced degree in a quantitative field, though requirements vary by employer and seniority.
Quantitative research roles are found at hedge funds, banks, asset managers, fintech companies, technology firms, and research organizations. Job titles and responsibilities vary: some roles focus on systematic investment strategies and market research, while others emphasize product analytics, forecasting, or applied machine learning. Senior analysts may progress into research leadership, portfolio strategy, or quantitative development.
Search Ladders for vetted Quantitative Research Analyst opportunities offering $100,000 or more. Compare roles by industry, location, and experience level to find a position that aligns with your analytical strengths and career goals. Compensation and qualifications differ by employer, so review each listing for current details.
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What is a Quantitative Research Analyst?
A Quantitative Research Analyst applies mathematics, statistics, programming, and domain expertise to analyze data, build models, and support decisions. In finance, the role may focus on investment research, trading strategies, or risk; in other industries, it may center on forecasting and business analytics.
What qualifications do Quantitative Research Analyst jobs require?
Requirements vary, but employers often look for a degree in mathematics, statistics, computer science, economics, finance, or another quantitative field. Advanced degrees and experience with statistical modeling, programming, and data analysis may be preferred for some positions.
Which skills are useful for Quantitative Research Analysts?
Commonly useful skills include probability, statistics, econometrics, data visualization, and programming with tools such as Python, R, C++, or SQL. Communication and the ability to explain complex findings to stakeholders are also important.
Where do Quantitative Research Analysts work?
They work in areas such as investment management, banking, hedge funds, fintech, technology, and research organizations. The day-to-day focus depends on the employer and may include financial markets, product performance, risk, or business forecasting.
Can I find Quantitative Research Analyst jobs paying $100,000 or more on Ladders?
Ladders features vetted professional opportunities with salaries of $100,000 or more, including quantitative research roles. Check individual listings for compensation, location, qualifications, and other details.