Quantitative Analyst Jobs in USA with Visa Sponsorship
Quantitative analyst roles attract strong H-1B visa and O-1 visa sponsorship from banks, hedge funds, and trading firms. Most positions require a graduate degree in mathematics, statistics, or a quantitative field, and employers routinely sponsor both initial petitions and green card filings for strong candidates. For detailed occupation requirements, see the O*NET profile.
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At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
We’re looking for a sharp individual contributor who’s adept at advanced AI/ML algorithms and their applications in financial institutions to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank’s Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Quant you will develop benchmark AI/ML models, perform activities related to AI/ML model development and model review, including model development, algorithm selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI & Agentic AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
Basic Qualifications
- Bachelor’s degree in a quantitative field, and eight or more years of relevant experience
OR
- MA/MS in a quantitative field, and five or more years of related experience
OR
- PhD in a quantitative field, and four or more years of related experience
Preferred Skills/Experience
- Strong statistical modeling or computer science background and hands on model development or validation skills
- Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.
- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.
- Hands-on experience designing, developing, and deploying advanced deep learning architectures, including MLPs, RNNs, CNNs, and other state-of-the-art neural network frameworks for a wide range of AI and machine learning applications.
- Deep expertise in advanced Agentic AI architectures and orchestration patterns, including function calling, MCP, SKILLs, A2A, context engineering, harness engineering, loop engineering, and other emerging frameworks for building scalable, multi-agent AI systems.
- Strong expertise in building, deploying, and evaluating GenAI and Agentic AI solutions, including RAG, multi-agent systems, tool-augmented workflows, and advanced evaluation techniques such as adversarial testing, semantic similarity analysis, retrieval assessment, and LLM-as-a-Judge methodologies.
- Hands-on experience with modern AI development, deployment, and evaluation ecosystems, including PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, AI-assisted development platforms such as Claude Code and GitHub Copilot, and LLM evaluation frameworks including DeepEval, LlamaIndex, Ragas, and other comparable tools.
- Familiarity with cloud-based AI platforms and services, including AWS Bedrock, Azure AI, Microsoft Copilot, Google Vertex AI, vector databases, and model serving/inference platforms.
- Research experience and publications on AI or Gen AI are preferred
- Experience in financial industry is preferred but not required
- Advanced understanding of Model Risk Management and OCC SR 26-2 is a plus
- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills
LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Quantitative Analyst
Target firms with established H-1B track records
Large banks and quantitative trading firms file hundreds of H-1B petitions annually. Prioritizing employers with consistent sponsorship histories significantly improves your odds of finding a role that moves quickly through the petition process.
Lead with your graduate degree and technical specialization
USCIS treats quantitative analyst roles as specialty occupations when tied to a specific graduate-level field. A master's or PhD in financial engineering, statistics, or applied mathematics strengthens your H-1B petition considerably beyond a general bachelor's degree.
Understand that quant roles qualify strongly for O-1A
If you've published research, won competitions, or hold a prominent position at a top-tier firm, the O-1A is worth exploring. It has no annual cap, no lottery, and is particularly accessible to researchers with measurable impact in quantitative finance.
Document your publications and proprietary model contributions
USCIS scrutinizes specialty occupation claims for quant roles. Supporting your petition with published papers, patent filings, or documented contributions to trading systems strengthens the case that your work requires graduate-level expertise.
Engage employers early about their internal immigration process
Some firms use in-house immigration teams while others rely on outside counsel. Knowing which firms have streamlined sponsorship workflows helps you avoid offers where the process stalls due to administrative delays rather than eligibility issues.
Use Migrate Mate to filter for verified sponsoring employers
Not every quant role listed publicly comes with sponsorship. Migrate Mate surfaces positions from employers actively willing to sponsor visas, saving you from pursuing roles that will ultimately require citizenship or permanent residence.
Frequently Asked Questions
Does a quantitative analyst role qualify as a specialty occupation for H-1B purposes?
Yes, quantitative analyst positions qualify as specialty occupations when the employer requires at least a bachelor's degree in a specific quantitative field such as mathematics, statistics, financial engineering, or computer science. Roles at hedge funds and investment banks routinely satisfy this standard. Where USCIS has pushed back historically is on generalist analyst titles where the degree requirement is not field-specific, so the job description and offer letter language both matter.
Do employers in quantitative finance commonly sponsor green cards for quant analysts?
Yes, particularly at hedge funds, proprietary trading firms, and bulge-bracket banks, green card sponsorship for quantitative analysts is common. Most employers file under EB-2 or EB-3, with some exceptionally credentialed candidates pursuing EB-1A or EB-1B based on research contributions. The timeline from H-1B visa to green card approval depends heavily on your country of birth, with Indian and Chinese nationals facing significantly longer waits due to per-country backlog.
What degree do I need for a quantitative analyst role to qualify for H-1B sponsorship?
Most sponsoring employers require a master's degree or PhD in a quantitative discipline, including applied mathematics, statistics, physics, financial engineering, or computer science. A bachelor's degree alone may satisfy specialty occupation requirements at some firms, but graduate credentials are the practical standard in this field. USCIS may request evidence of theoretical and practical application of the discipline, so the degree must align closely with the specific quant function in the role.
Can a quantitative analyst on OPT find sponsorship before the H-1B lottery?
Yes, and the timeline matters. USCIS accepts H-1B petitions in April for an October 1 start date, so quant analysts on OPT need an offer in place before the registration window opens in March. STEM OPT provides up to three years of work authorization, giving most graduate-level quant analysts enough runway to complete one full lottery cycle and potentially a second if they miss the first. Browse open roles on Migrate Mate to identify firms already sponsoring before your OPT window tightens.
Is the O-1A visa a realistic option for quantitative analysts?
For senior or research-oriented quant professionals, yes. The O-1A requires demonstrating extraordinary ability through criteria such as high salary relative to peers, published research, judging others' work, critical role at a distinguished firm, or contributions of major significance to the field. Quant researchers with academic publications or recognized modeling frameworks often qualify. The key advantage is no lottery and no annual cap, making it a viable path for candidates who missed H-1B selection.
What is the prevailing wage requirement for sponsored Quantitative Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.