E-3 Visa Quantitative Research Analyst Jobs
Quantitative Research Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in mathematics, statistics, economics, or a related quantitative field. The E-3 has no lottery and no annual cap, making it a straightforward path for Australian professionals targeting U.S. hedge funds, asset managers, and research institutions.
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INTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ROLE AND RESPONSIBILITIES
This job is responsible for developing and maintaining models for the line of business, including volume forecasts, capacity plans, and vendor models. Key responsibilities include presenting findings to key stakeholders and ensuring compliance to Model Risk Management (MRM) standards. Job expectations include strong quantitative skills and experience in time series forecasting, simulation modelling, operations research, and analytics.
The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience in capacity planning, resource optimization, and/or analytics. This individual will be responsible for developing and maintaining strategic capacity models that forecast operational resource demand with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure capacity models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:
- Develop and maintain capacity planning and resource optimization models
- Routinely partner with Front Line Units (FLUs) to ensure model accuracy
- Conduct model production and performance presentations with executive leadership
- Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
- Assist in driving capacity modeling consistency and innovation across Resource Analytics
- Help modernize existing capacity models using advanced simulation and optimization techniques
- Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines
Responsibilities
- Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models
- Drives horizontal consistency in model development and usage across peer groups
- Conducts routine model production and performance presentations with executive leadership
- Ensures adherence to Model Risk Management (MRM) requirements
- Supports ongoing model monitoring to improve forecasting performance and efficiency
BASIC QUALIFICATIONS
- Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
- 2+ years of experience in quantitative roles supporting complex functions
- Proficient in MS Office, particularly Excel
- Experience with Copilot
- Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
- Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
- Natural curiosity and drive to answer important business questions
- High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment
PREFERRED QUALIFICATIONS
- Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
- Prior capacity or financial planning experience
- Understanding of linear regression and time-series modeling techniques
- Understanding of simulation and operations research techniques
- Experience with SAS, Python, R, or similar statistical software
- Experience with Arena or similar discrete event simulation software
- Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
- Experience with Tableau or other data visualization software
- Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body
SKILLS
- Analytical Thinking
- Business Intelligence
- Data Modeling
- Data Visualization
- Data and Trend Analysis
- Attention to Detail
- Collaboration
- Data Management
- Data Mining
- Presentation Skills
- Consulting
- Problem Solving
- Risk Management
- Stakeholder Management
- Technical Documentation
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Quantitative Research Analyst
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in mathematics, statistics, or econometrics satisfies E-3 visa specialty occupation requirements. Bring official transcripts and a credential evaluation letter to confirm equivalency before you start applying.
Target employers with active quantitative research teams
Focus on hedge funds, asset managers, and quantitative trading firms that run dedicated research desks. These employers already understand specialty occupation requirements and are far more likely to file an LCA without needing an explanation of the E-3.
Ask about LCA filing before accepting an offer
The DOL's Labor Condition Application must be certified before your visa interview. Confirm early that your prospective employer is prepared to file it, and clarify whether they use in-house HR or outside counsel to handle the process.
Use Migrate Mate's E-3 filing service for end-to-end support
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork from start to consulate appointment. This is especially useful if your employer has never sponsored an E-3 before.
Align your job title with DOL specialty occupation definitions
Job titles like 'Data Scientist' or 'Portfolio Analyst' can sometimes blur the specialty occupation line. Make sure your offer letter uses a title that clearly maps to a quantitative research function requiring a specific degree field.
Time your application around consulate appointment availability
E-3 interviews are processed at U.S. consulates in Sydney, Melbourne, and Perth. Check appointment wait times before signing a start date with your employer, since consulate backlogs can add several weeks to your timeline.
E-3 Visa Quantitative Research Analyst: Frequently Asked Questions
Where can I find Quantitative Research Analyst jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. It surfaces Quantitative Research Analyst positions at employers already familiar with the E-3 process, so you're not starting from scratch with HR teams who have never heard of the visa.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Quantitative Research Analyst role qualify as a specialty occupation for E-3 purposes?
Yes. Quantitative Research Analyst positions typically require at least a bachelor's degree in mathematics, statistics, economics, computer science, or a related quantitative discipline, which satisfies the DOL's specialty occupation definition. The key is that your offer letter and job description clearly reflect that specific degree requirement rather than accepting any field.
How does the E-3 visa compare to the H-1B for Quantitative Research Analyst roles?
Both visas cover the same specialty occupation category, but the E-3 has no lottery and no annual cap, meaning Australian applicants can apply at any time of year and aren't subject to the H-1B visa's March registration window. The E-3 is also renewable indefinitely in two-year increments, while H-1B holders face a six-year cap unless they're in a green card queue.
Can I switch employers on an E-3 while working as a Quantitative Research Analyst?
Yes, but each employer change requires a new LCA filing and a new visa stamp if you travel internationally. You can begin working for the new employer once the new LCA is certified and you have a valid E-3 tied to that employer. It's worth scheduling your consulate appointment early if you're mid-cycle and planning a move.