E-3 Visa Quantitative Jobs
Quantitative roles in the U.S. consistently qualify as specialty occupations under E-3 visa rules, making sponsorship straightforward for Australian professionals with a relevant degree. The E-3 has no lottery and no cap, so you can accept an offer and file at any time of year.
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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 in Quantitative
Translate your Australian degree credentials
U.S. consular officers assess whether your Australian degree maps to the role's specialty occupation requirement. A three-year bachelor's in mathematics, statistics, or finance is generally accepted as equivalent to a U.S. four-year degree, but have your transcripts ready to confirm the field of study.
Target firms with active LCA filing history
Focus on employers who have already filed Labor Condition Applications for quantitative analyst or research roles. DOL's public disclosure data shows which firms regularly sponsor these positions, saving you from pitching sponsorship to employers who've never done it.
Clarify the specialty occupation standard early
Not every quant role automatically qualifies. If a job description accepts 'any bachelor's degree,' that weakens the specialty occupation case. Push for a description that specifies a degree in quantitative finance, statistics, mathematics, or a related field before the LCA is filed.
Use Migrate Mate's E-3 filing service for LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA submission with the DOL and prepare your DS-160 and supporting documents. This keeps the process moving without your employer needing an in-house immigration team.
Confirm prevailing wage before accepting an offer
Your employer must certify to the DOL that your offered salary meets the prevailing wage for the role and location. Ask your employer to run a prevailing wage check before you negotiate, so the LCA reflects a compliant rate from the start.
Time your consulate appointment around project cycles
Sydney, Melbourne, and Perth process E-3 applications year-round with no cap constraints, but appointment wait times vary by month. File your LCA as soon as the offer is signed so you have flexibility to book around your current employer's notice period or a role start date.
E-3 Visa Quantitative: Frequently Asked Questions
How do I find quantitative jobs with E-3 visa sponsorship?
Use Migrate Mate to search quantitative roles filtered specifically for E-3 visa sponsorship. Most general job boards don't distinguish between visa types, so you end up cold-pitching sponsorship to employers who aren't set up for it. Migrate Mate surfaces roles where employers are already open to E-3 candidates, which is the fastest path to an offer.
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.
Do quantitative analyst roles qualify as specialty occupations under the E-3?
Yes, in most cases. Quantitative analyst, quantitative researcher, and quantitative developer roles routinely qualify because they require a bachelor's degree or higher in a specific field such as mathematics, statistics, financial engineering, or computer science. The key is that the job description must specify the field of study, not just 'a degree in a related area.'
How does the E-3 compare to the H-1B for quantitative professionals?
The E-3 is significantly more practical for Australians in quant roles. There's no lottery and no annual cap, so your employer can sponsor you at any point in the year without waiting for an April registration window. The E-3 also has a 10,500 annual allocation that has never been fully used, meaning approval timelines are predictable and driven by consulate scheduling rather than selection odds.
Can I switch quant employers after getting my E-3 visa?
Yes, but the E-3 is employer-specific and role-specific, so each job change requires a new LCA and a new visa. You don't need to leave the U.S. to change employers if you're already on E-3 status, but your new employer must file a fresh LCA with the DOL before your start date. Your current E-3 stamp only covers the original employer and position.