Quantitative Research Analyst Jobs
Quantitative Research Analyst jobs are open across finance, asset management, hedge funds, and technology, from entry-level analyst to senior and principal roles, with specializations in statistical modeling, algorithmic strategy, and risk analytics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 146+ Quantitative Research Analyst jobs
Locations: San Francisco, California
Job description
About this role
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions — from meticulous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Your team
Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment group. We invest client assets using a systematic investment approach and have pursued client investment goals across global equity markets for more than 30 years. Research and innovation are central to our approach, bringing together finance and economics with data and computer science.
The team manages more than $200 billion in assets and brings together quantitative finance researchers and portfolio managers, with access across BlackRock to investors and specialists in statistics, machine learning, and optimization.
Your role and impact
As a Systems Researcher, you will join our investment and quantitative research teams, focusing on computer science, data management, mathematical models, and computer simulations. You will apply algorithmic development and software engineering capabilities to help translate quantitative research and investment ideas into robust technology solutions.
This role offers the opportunity to work across disciplines, collaborating with computer scientists, data scientists, quantitative researchers, and investors on complex problems that support systematic investing.
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
- Develop and implement algorithms and software that support systematic equity investment and quantitative research.
- Build and maintain data-management and computational solutions used by investment and quantitative research teams.
- Design and evaluate mathematical models and computer simulations to support research and investment applications.
- Collaborate with computer scientists, data scientists, quantitative researchers, and investors to translate research ideas into robust software solutions.
- Contribute to distributed-computing and high-performance computing solutions, with a focus on reliability, scalability, and research effectiveness.
Your experience
- The desire to work in a team environment with computer scientists, data scientists, and quantitative investors of many different backgrounds.
- A passion for algorithmic development and implementation, and a keen attention to detail.
- A fascination for some aspects of computer science: distributed computing, cryptography, and machine learning.
- Working knowledge of serverless architecture, ideally having developed or contributed to projects in that space.
- A Bachelors, Masters, or Ph.D. in computer science with 2+ years of applied experience.
- A proven track record of delivering awesome software.
- Excellent knowledge of Python / Pandas, as well as Java or C/C++.
- Well-rounded proficiency with Linux and UNIX systems.
- Experience in distributed computing and the use of GPUs.
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.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
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.
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
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 the EEOC’s Know Your Rights poster and its supplement (opens in new window) and the pay transparency statement (opens in new window).
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 (opens in new window). All requests are treated in line with our privacy policy (opens in new window). (opens in new window)
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.R267061
Locations: San Francisco, California
Job description
About this role
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions — from meticulous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Your team
Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment group. We invest client assets using a systematic investment approach and have pursued client investment goals across global equity markets for more than 30 years. Research and innovation are central to our approach, bringing together finance and economics with data and computer science.
The team manages more than $200 billion in assets and brings together quantitative finance researchers and portfolio managers, with access across BlackRock to investors and specialists in statistics, machine learning, and optimization.
Your role and impact
As a Systems Researcher, you will join our investment and quantitative research teams, focusing on computer science, data management, mathematical models, and computer simulations. You will apply algorithmic development and software engineering capabilities to help translate quantitative research and investment ideas into robust technology solutions.
This role offers the opportunity to work across disciplines, collaborating with computer scientists, data scientists, quantitative researchers, and investors on complex problems that support systematic investing.
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
- Develop and implement algorithms and software that support systematic equity investment and quantitative research.
- Build and maintain data-management and computational solutions used by investment and quantitative research teams.
- Design and evaluate mathematical models and computer simulations to support research and investment applications.
- Collaborate with computer scientists, data scientists, quantitative researchers, and investors to translate research ideas into robust software solutions.
- Contribute to distributed-computing and high-performance computing solutions, with a focus on reliability, scalability, and research effectiveness.
Your experience
- The desire to work in a team environment with computer scientists, data scientists, and quantitative investors of many different backgrounds.
- A passion for algorithmic development and implementation, and a keen attention to detail.
- A fascination for some aspects of computer science: distributed computing, cryptography, and machine learning.
- Working knowledge of serverless architecture, ideally having developed or contributed to projects in that space.
- A Bachelors, Masters, or Ph.D. in computer science with 2+ years of applied experience.
- A proven track record of delivering awesome software.
- Excellent knowledge of Python / Pandas, as well as Java or C/C++.
- Well-rounded proficiency with Linux and UNIX systems.
- Experience in distributed computing and the use of GPUs.
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.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
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.
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
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 the EEOC’s Know Your Rights poster and its supplement (opens in new window) and the pay transparency statement (opens in new window).
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 (opens in new window). All requests are treated in line with our privacy policy (opens in new window). (opens in new window)
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.R267061
Quantitative Research Analyst Jobs by Experience Level
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Find JobsQuantitative Research Analyst Job Market
Who's Hiring
- JPMorganChase30
- PIMCO8
- Meta5
- Millennium Management4
- Trexquant Investment LP4
Top Industries Hiring
- Investment & Asset Management22
- Banking & Financial Services7
- Fintech6
- Technology & Software1
What Employers Look For
The qualifications that appear most often in quantitative research analyst jobs.
- Advanced degree in mathematics, statistics, finance, computer science, or a related quantitative field
- Proficiency in Python or R for data analysis, modeling, and research automation
- Experience building and backtesting statistical or machine learning models on financial data
- Strong command of SQL for querying large structured datasets
- Familiarity with Bloomberg, Refinitiv, or similar financial data platforms
- Ability to communicate complex quantitative findings clearly to non-technical stakeholders
Tips for Your Quantitative Research Analyst Job Search
Quantify your models on your resume
List the specific models you built, the datasets you worked with, and the measurable outcomes. Hiring managers for quantitative research analyst roles expect to see accuracy improvements, alpha generation, or risk reduction figures, not vague descriptions of analytical work.
Include your programming languages prominently
Python, R, MATLAB, and SQL often appear in the first screening pass for quantitative research analyst roles. Put them in your skills section and name them again in context within your experience bullets so both automated filters and reviewers catch them.
Target firms by their research strategy
Systematic and discretionary hedge funds, sell-side research desks, and tech quant teams each test for different things. Read a firm's published research or job description carefully to match your resume's emphasis to their strategy before you apply.
Apply early to roles that fit
Migrate Mate lists quantitative research analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a take-home or case study sample
Many quantitative research analyst interviews include a timed modeling exercise or a take-home dataset problem. Practice building a clean, annotated analysis in Python or R that a non-technical reviewer can follow, because presentation quality is evaluated alongside methodology.
Negotiate using comp structure, not just base
Quantitative research analyst offers frequently include a discretionary bonus tied to fund performance or research output. Ask explicitly how the bonus is determined and request a range from recent cycles before you evaluate or accept any offer.
Quantitative Research Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most quantitative research analysts?
The companies hiring the most quantitative research analysts right now include JPMorganChase, PIMCO, and Meta, with the largest share of openings in New York, California, and Illinois, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at hedge funds, asset managers, and large technology companies with proprietary trading or data science divisions.
How many quantitative research analyst jobs are remote?
About 57% of quantitative research analyst openings are fully remote or hybrid as of November 2026, with remote options more common in technology-focused quant roles than in hedge fund or sell-side research positions. Roles centered on independent statistical modeling or data pipeline development tend to offer the most flexibility, while strategy-facing or trading-adjacent roles typically require on-site presence.
How do you become a quantitative research analyst?
Most quantitative research analysts build a foundation in a quantitative discipline such as mathematics, statistics, physics, or computer science, then develop applied skills in financial modeling, time-series analysis, and programming. Internships at asset managers or research desks provide practical exposure. A graduate degree strengthens candidacy for senior roles, and a portfolio of personal or academic modeling projects demonstrates hands-on ability to employers who screen heavily on technical output.
Can you get a quantitative research analyst job with little experience?
Entry-level quantitative research analyst roles exist, and employers filling them focus heavily on academic performance, technical skills, and demonstrated project work rather than years on the job. A strong thesis, published research, or a GitHub portfolio with backtested models can substitute for professional experience. Rotational analyst programs at banks and asset managers are a common entry point for new graduates from quantitative programs.
What does the quantitative research analyst interview process look like?
The process typically starts with a recruiter screen focused on background and technical stack, followed by a technical phone interview covering probability, statistics, and coding in Python or R. Later rounds often include a take-home modeling exercise or case study, then a final round of interviews with senior researchers or portfolio managers that combines technical depth with research discussion. Some firms add a brain-teaser or mental math component early in the process.
Where can I find and apply to quantitative research analyst jobs?
You can find and apply to quantitative research analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 146+ Quantitative Research Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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