Quantitative Jobs in USA with Visa Sponsorship

There are 848+ quantitative positions currently offering visa sponsorship in the United States. The most common visa types for these roles include H-1B, Green Card, TN. Top hiring companies include Susquehanna International Group, Goldman Sachs, & WorldQuant, among others. Salaries for sponsored positions range from $160K – $222K.

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Overview

Open Jobs848+
Top Visa TypeH-1B
Work Type69% On-site
Salary Range$160K – $222K
Top LocationNew York, NY
Most JobsSusquehanna International Group

Showing 5 of 848+ quantitative jobs

Deutsche Bank
Quantitative Trading Engineer
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Deutsche Bank
New 4h ago
Quantitative Trading Engineer
Deutsche Bank
New York, New York
Software Engineering
Data Science & Analytics
Backend Engineering
$155,000/yr - $252,500/yr
Hybrid
10+ yrs exp.
Bachelor's

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Mphasis
Quantitative Analyst
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Mphasis
New 4h ago
Quantitative Analyst
Mphasis
Jersey City, New Jersey
Data Science & Analytics
Software Engineering
Data Science
Data Analytics
$125,000/yr - $135,000/yr
On-Site
None

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Aceolution
Quantitative Analyst
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Aceolution
New 8h ago
Quantitative Analyst
Aceolution
Remote
Finance
Accounting
Data Science & Analytics
Data Science
Data Analytics
Remote (US)
None

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TransPerfect
Junior Quantitative Analyst
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TransPerfect
New 11h ago
Junior Quantitative Analyst
TransPerfect
San Juan, Puerto Rico
Business Analysis
Data Science & Analytics
Data Science
Data Analytics
On-Site
Bachelor's

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Jobs via Dice
Quant Data Modeler
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Jobs via Dice
New 15h ago
Quant Data Modeler
Jobs via Dice
Delaware
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
$70.00/hr - $75.00/hr
On-Site
5+ yrs exp.
Master's

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How to Get Visa Sponsorship in Quantitative

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.

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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 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.

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.

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