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Quantitative Research Assistant Jobs (NOW HIRING)

Specific tasks that research assistants can expect to undertake include quantitative research analyses using economic and financial data; developing code for model estimation; collecting and managing ...

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Quantitative Research Assistant information

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How much do quantitative research assistant jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for quantitative research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What are quantitative research assistants?

Quantitative research assistants are professionals who support research projects by collecting, analyzing, and interpreting numerical data. They often use statistical software to manage datasets, perform statistical analysis, and help prepare reports or presentations based on their findings. These assistants typically work in academic, scientific, or business settings and collaborate closely with lead researchers or data scientists. Their work helps ensure that research conclusions are based on rigorous and accurate quantitative analysis.

What is the difference between Quantitative Research Assistant vs Data Analyst?

AspectQuantitative Research AssistantData Analyst
Required CredentialsBachelor's degree in statistics, economics, or related fieldBachelor's or master's in data science, statistics, or related field
Work EnvironmentResearch institutions, universities, market research firmsCorporate, finance, healthcare, or tech companies
Employer & Industry UsageAcademic and research settings, market research firmsBusiness analytics, finance, marketing departments
Common Search & ComparisonOften compared for data handling and research tasksCompared for data processing and reporting roles

The main difference is that Quantitative Research Assistants focus on supporting research projects with data collection and analysis in academic or research settings, while Data Analysts typically work in business environments analyzing data to inform decisions. Both roles require strong quantitative skills and similar educational backgrounds, but their work environments and primary objectives differ.

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

To thrive as a Quantitative Research Assistant, you need strong analytical skills, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, or economics. Familiarity with statistical software such as R, Stata, SPSS, or Python, as well as experience with data management systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are key soft skills that set candidates apart. These skills are essential for ensuring the accuracy, reliability, and clarity of research findings, which directly impact the quality and credibility of quantitative research projects.

What are some common challenges Quantitative Research Assistants face when managing large datasets, and how can these be addressed?

Quantitative Research Assistants often work with large, complex datasets that can present challenges such as data cleaning, ensuring accuracy, and maintaining data integrity. Handling missing values, outliers, or inconsistent formats requires attention to detail and strong technical skills in statistical software like R, Python, or SPSS. Collaborating closely with research teams can help clarify data requirements and resolve ambiguities early on. Regularly documenting procedures and validating data at each stage helps minimize errors and ensures reliable analysis results.
More about Quantitative Research Assistant jobs
What cities are hiring for Quantitative Research Assistant jobs? Cities with the most Quantitative Research Assistant job openings:
What are the most commonly searched types of Quantitative Research jobs? The most popular types of Quantitative Research jobs are:
What states have the most Quantitative Research Assistant jobs? States with the most job openings for Quantitative Research Assistant jobs include:
Infographic showing various Quantitative Research Assistant job openings in the United States as of May 2026, with employment types broken down into 41% Full Time, 53% Part Time, and 6% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.
Associate, Quantitative Research

Associate, Quantitative Research

BlackRock

Sausalito, CA • Hybrid

Full-time

Medical, Retirement

Posted 22 days ago


BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

About this role

Team Overview

BlackRock SMA Solutions helps clients customize portfolios for unique tax, values-alignment, or investment exposures across direct indexing, fixed income, active equity, and multi-asset. We deliver world-class service to all of our clients, from wealth advisors to family offices to endowments and foundations.

About this Role

We are seeking a highly quantitative and motivated Associate to join the Quantitative Investment Solutions (QIS) team, a specialized unit within Aperio Portfolio Management, operating under BlackRock's SMA Solutions business. QIS is responsible for driving strategic product innovation, developing tax-managed investment strategies, and advancing quantitative research. The team spearheads the creation of cutting-edge tax-advantaged solutions, encompasses direct indexing, active long/short, option overlays, factor tilts, concentration management and more. QIS also plays a pivotal role in client engagement and internal business development collaboration, supporting product activation and commercial growth.

The Associate will contribute to all facets of the quantitative strategy research process, including building research infrastructure, managing back-tests and simulations, and generating quant analytics to support the design and development of tax-managed investment strategies. The ideal candidate will demonstrate the ability to solve complex challenges related to tax optimization, systematic active portfolio construction, and risk modeling for long/short equity and option-based strategies.The role requires advanced quantitative and programming skills, consistent detail-oriented problem-solving capabilities, effective communication in verbal and written form, and the ability to work under a collaborative environment. Success in this position also depends on the ability to manage and prioritize complicated sets of tasks, take initiative and display responsibility for quality and timeliness of output. The title and compensation will be commensurate with experience.

Key Responsibilities

  • Assist in the design, advancement, implementation, and maintenance of research infrastructure and tools to support quantitative research, investment strategy development and evaluation.
  • Conduct backtesting and simulation of investment strategies, with a focus on tax-aware portfolio construction and risk modeling.
  • Analyze large and complex datasets to extract insights and support research hypotheses, investment strategy validation, and strategy development.
  • Collaborate with senior researchers and portfolio managers to develop and refine systematic investment strategies, tax-managed optimizations, and portfolio management processes.
  • Create clear and compelling visualizations and documentation to communicate research findings to internal stakeholders and external clients.
  • Contribute to the team's thought leadership by supporting the development of white papers, presentations, and internal knowledge sharing.

Qualifications

  • Bachelor's degree in quantitative fields such as Mathematics, Statistics, Computer Science, or Engineering.
  • Substantial programming experience in Python and excellent Excel skills; familiarity with data analysis libraries (e.g., pandas, NumPy, SciPy) are essential; experience with machine learning techniques is a plus.
  • Demonstrated experience working with large datasets and conducting empirical research.
  • At least 1 year of relevant industry work experience is preferred; quantitative portfolio management experience a plus
  • Excellent analytical and problem-solving skills, with acute attention to detail.
  • Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Interest in tax-aware investing, portfolio construction, and systematic strategies.
  • Experience with financial modeling, optimization, or portfolio analytics.
  • Experience with equity and option asset classes.
For San Francisco, CA and Sausalito, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock| LinkedIn:www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person's appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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