Quantitative Jobs in USA with Visa Sponsorship
Quantitative roles, including quant researchers, quant developers, and quantitative analysts, are among the most reliably sponsored positions in the U.S. financial industry. Hedge funds, investment banks, proprietary trading firms, and asset managers like Citadel, Two Sigma, DE Shaw, and Jane Street sponsor aggressively for top quant talent. The role's heavy reliance on advanced degrees in math, statistics, physics, or computer science makes the H-1B visa case ironclad. O-1 visas are also common for quants with exceptional academic or professional credentials. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsLocation: New York, New York
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 rigorous 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.
Aladdin Financial Engineering (AFE)
AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics. The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin.
AFE conducts leading research on the areas above, delivering state-of-the-art models. AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences. AFE engages constantly with the sales team in client visits and meetings.
Role
We are seeking a hands-on Quantitative Associate to join the Portfolio Risk team within AFE. This role is ideal for someone who enjoys working deeply with data and code, has strong attention to detail, and is motivated to build practical, production-ready risk models and analytics used by real investment professionals.
This is an individual contributor role focused on quantitative research, model development, testing, and implementation. Formal project management responsibilities are not required, but the role does require strong ownership of work, critical thinking, and the ability to collaborate effectively with researchers, engineers, and stakeholders across regions.
The Portfolio Risk team develops and maintains a broad set of analytics, including:
- Multi-factor Linear risk models
- Value-at-Risk (VaR) methodologies
- Volatility and covariance matrix estimation
- Portfolio stress testing and scenario analysis
These models are widely used across Aladdin and directly influence investment and risk management decisions. As a result, the team places strong emphasis on model rigor, governance, scalability, and transparency.
This role also offers the opportunity to contribute directly to the team’s AI transformation journey, particularly in applying AI and automation to modernize and scale model governance workflows.
What You Will Do
- Research, design, and back-test portfolio risk models using Python-based infrastructure
- Work hands-on with large and complex financial datasets, ensuring data quality and robustness of results
- Collaborate closely with software engineers to test, productionize, and maintain models
- Support existing models in production, including investigation and resolution of model-related questions from internal stakeholders and clients
- Develop and enhance testing, validation, back-testing, and quality-control frameworks
- Contribute to the team’s AI transformation journey, with a focus on applying AI, ML, and automation to model governance processes, such as:
- Model validation and back-testing
- Testing and quality control
- Documentation and reproducibility checks
- Research-to-production code migration
- Clearly document and communicate model assumptions, results, and limitations to both technical and non-technical audiences
Skills & Qualifications:
- Master’s degree (e.g., MFE) or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering
- Strong hands-on programming experience, primarily in Python (R a plus)
- Experience working with large datasets and applying statistical, econometric, or quantitative techniques
- Solid understanding of financial markets, financial products, and basic economics
- Strong analytical and problem-solving skills with high attention to detail
- Clear written and verbal communication skills in English
- Ability to work effectively in a collaborative, team-oriented environment
Competencies:
- Critical thinking and intellectual curiosity
- Strong ownership of work and accountability for quality
- Ability to translate complex quantitative ideas into practical, usable solutions
- Comfort working across disciplines (quant research, engineering, risk, product)
- Interest in building robust, scalable, and well-governed analytical systems
- Innovative thinking balanced with sound judgment and practicality
Is a plus…
- Exposure to machine learning and AI techniques, particularly as applied to financial or time-series data
- Experience applying AI, ML, or automation to model lifecycle and governance workflows, such as validation, back-testing, testing, monitoring, documentation, or code migration
- Knowledge of fixed income and/or equity risk factor models
- Understanding of portfolio theory and risk analytics
- Experience designing rigorous testing and back-testing frameworks
- Familiarity with building scalable and repeatable research or modeling processes
- Strong software engineering practices (clean, well-tested code)
- Experience with Unix/Linux and Git
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00. 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.
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.
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 our privacy policy.
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.
Job Requisition #
R264623
Location: New York, New York
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 rigorous 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.
Aladdin Financial Engineering (AFE)
AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics. The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin.
AFE conducts leading research on the areas above, delivering state-of-the-art models. AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences. AFE engages constantly with the sales team in client visits and meetings.
Role
We are seeking a hands-on Quantitative Associate to join the Portfolio Risk team within AFE. This role is ideal for someone who enjoys working deeply with data and code, has strong attention to detail, and is motivated to build practical, production-ready risk models and analytics used by real investment professionals.
This is an individual contributor role focused on quantitative research, model development, testing, and implementation. Formal project management responsibilities are not required, but the role does require strong ownership of work, critical thinking, and the ability to collaborate effectively with researchers, engineers, and stakeholders across regions.
The Portfolio Risk team develops and maintains a broad set of analytics, including:
- Multi-factor Linear risk models
- Value-at-Risk (VaR) methodologies
- Volatility and covariance matrix estimation
- Portfolio stress testing and scenario analysis
These models are widely used across Aladdin and directly influence investment and risk management decisions. As a result, the team places strong emphasis on model rigor, governance, scalability, and transparency.
This role also offers the opportunity to contribute directly to the team’s AI transformation journey, particularly in applying AI and automation to modernize and scale model governance workflows.
What You Will Do
- Research, design, and back-test portfolio risk models using Python-based infrastructure
- Work hands-on with large and complex financial datasets, ensuring data quality and robustness of results
- Collaborate closely with software engineers to test, productionize, and maintain models
- Support existing models in production, including investigation and resolution of model-related questions from internal stakeholders and clients
- Develop and enhance testing, validation, back-testing, and quality-control frameworks
- Contribute to the team’s AI transformation journey, with a focus on applying AI, ML, and automation to model governance processes, such as:
- Model validation and back-testing
- Testing and quality control
- Documentation and reproducibility checks
- Research-to-production code migration
- Clearly document and communicate model assumptions, results, and limitations to both technical and non-technical audiences
Skills & Qualifications:
- Master’s degree (e.g., MFE) or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering
- Strong hands-on programming experience, primarily in Python (R a plus)
- Experience working with large datasets and applying statistical, econometric, or quantitative techniques
- Solid understanding of financial markets, financial products, and basic economics
- Strong analytical and problem-solving skills with high attention to detail
- Clear written and verbal communication skills in English
- Ability to work effectively in a collaborative, team-oriented environment
Competencies:
- Critical thinking and intellectual curiosity
- Strong ownership of work and accountability for quality
- Ability to translate complex quantitative ideas into practical, usable solutions
- Comfort working across disciplines (quant research, engineering, risk, product)
- Interest in building robust, scalable, and well-governed analytical systems
- Innovative thinking balanced with sound judgment and practicality
Is a plus…
- Exposure to machine learning and AI techniques, particularly as applied to financial or time-series data
- Experience applying AI, ML, or automation to model lifecycle and governance workflows, such as validation, back-testing, testing, monitoring, documentation, or code migration
- Knowledge of fixed income and/or equity risk factor models
- Understanding of portfolio theory and risk analytics
- Experience designing rigorous testing and back-testing frameworks
- Familiarity with building scalable and repeatable research or modeling processes
- Strong software engineering practices (clean, well-tested code)
- Experience with Unix/Linux and Git
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00. 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.
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.
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 our privacy policy.
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.
Job Requisition #
R264623
See all 479+ Quantitative Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Quantitative roles.
Get Access To All JobsTips for Finding Quantitative Jobs
Target top quantitative finance firms directly
Citadel, Two Sigma, DE Shaw, Jane Street, Renaissance Technologies, Jump Trading, and Hudson River Trading are among the most prominent quant firms that actively sponsor visas. These firms recruit heavily from top PhD programs in math, physics, and computer science and handle immigration as a standard part of the hiring process.
Build strong C++ and Python skills
C++ is the dominant language for low-latency trading systems, while Python is used for research, backtesting, and model prototyping. Quant developer roles especially value performance-optimized C++ skills. Technical interviews typically test data structures, algorithms, and numerical computing in both languages.
Leverage your PhD for O-1 or EB-1 pathways
If you hold a PhD in mathematics, physics, or statistics with published research, you may qualify for an O-1 visa or EB-1A/EB-1B green card. These pathways bypass the H-1B lottery entirely and can provide a more direct route to permanent residency for quantitative researchers with strong academic records.
Prepare for probability and brainteaser interviews
Quant interviews at top firms include probability puzzles, mental math, and brainteaser questions alongside technical coding and modeling assessments. Books like 'Heard on the Street' and 'A Practical Guide to Quantitative Finance Interviews' are standard preparation resources for these rigorous interview processes.
Explore bank quantitative analytics teams
Investment banks like Goldman Sachs, JPMorgan, Morgan Stanley, and Barclays maintain quantitative analytics groups (strats, quant analytics) that sponsor H-1B visas at high volumes. These roles may offer more predictable hours and career paths than hedge fund positions while still requiring strong mathematical and programming skills.
Frequently Asked Questions
How strong is visa sponsorship demand for quantitative roles in finance?
Quantitative roles in finance have among the strongest visa sponsorship demand of any profession. Hedge funds, investment banks, and proprietary trading firms actively recruit internationally for quant analysts, developers, and researchers. Firms like Citadel, Two Sigma, DE Shaw, Jane Street, and Renaissance Technologies are known for sponsoring visas for top quantitative talent.
What degree is required for quant roles?
Most quantitative positions require a PhD or master's degree in mathematics, physics, statistics, computer science, or financial engineering. A PhD is often preferred for quantitative researcher roles, while master's degrees in financial engineering or computational finance are common for quant analyst and developer positions. The advanced degree requirement strongly supports the H-1B visa specialty occupation classification.
What is the difference between a quant analyst, quant developer, and quant researcher?
Quantitative analysts build pricing models, risk models, and trading strategies. Quant developers implement these models in production systems using C++, Python, or Java. Quant researchers focus on discovering new trading signals and testing hypotheses using statistical methods. All three roles qualify for H-1B sponsorship, but they require different skill emphases.
Can quants qualify for O-1 or EB-1 visas?
Quantitative professionals with published research, patents, or demonstrated extraordinary ability in mathematics or finance may qualify for O-1 (Extraordinary Ability) visas or EB-1A green cards. These pathways are not subject to the H-1B lottery, and EB-1A does not require employer sponsorship. A strong publication record, awards, or significant contributions to the field can support these petitions.
How to find Quantitative jobs with visa sponsorship?
To find quantitative jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on financial services firms, hedge funds, investment banks, and tech companies that commonly hire quantitative analysts and researchers. These employers frequently sponsor H-1B, O-1, and other work visas for skilled quantitative professionals with strong mathematical and programming backgrounds.
What is the prevailing wage requirement for sponsored Quantitative jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a quantitative in New York will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.