E-3 Visa Quantitative Analyst Jobs
Quantitative Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in mathematics, statistics, finance, or a related quantitative field. The E-3 has no lottery and no annual cap, so Australian nationals can accept offers year-round with two-year renewable status.
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Get Access To All JobsINTRODUCTION
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
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
See all 677+ E-3 Visa Quantitative Analyst Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Quantitative Analyst
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's in mathematics or statistics is generally accepted as equivalent to a U.S. four-year degree for E-3 visa specialty occupation purposes. Request an official transcript and be ready to explain degree equivalency if your hiring team or immigration contact asks.
Target firms with active quantitative hiring pipelines
Asset managers, hedge funds, investment banks, and algorithmic trading firms hire quants in structured cycles. Search DOL LCA disclosure data by SOC code 15-2031 to identify which firms have filed for Quantitative Analyst roles and prioritise those in your outreach.
Clarify specialty occupation status before accepting an offer
Not every quant title automatically qualifies. Roles framed as general data analyst or business analyst positions may lack the degree-field specificity the E-3 requires. Confirm the job description ties the role directly to a quantitative discipline before your employer begins the LCA process.
Understand the LCA filing step your employer controls
Your employer files the Labor Condition Application with DOL before your visa appointment. LCA certification typically takes seven business days. If your start date is firm, make sure your employer submits well ahead of your consulate scheduling window, not after.
Use Migrate Mate's E-3 filing service for end-to-end support
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA, DS-160, and consulate preparation so nothing falls through during the transition. This matters for quant roles where start dates are tied to trading calendars or project cycles.
Prepare quantitative work samples for the consulate interview
Consular officers assess whether your background genuinely supports the specialty occupation claim. Bring documentation that connects your degree field directly to the role: published models, research outputs, or project summaries that demonstrate applied quantitative work, not just a job title.
E-3 Visa Quantitative Analyst: Frequently Asked Questions
How do I find Quantitative Analyst jobs that offer E-3 visa sponsorship?
Migrate Mate lets you search specifically for Quantitative Analyst roles where employers are open to E-3 sponsorship, filtering out positions that won't support the visa. Most general job searches surface quant roles without any indication of sponsorship willingness, which wastes time at a stage where employer fit matters as much as role fit.
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 Analyst role qualify as a specialty occupation under the E-3?
Yes, provided the position requires a bachelor's degree or higher in a specific quantitative field such as mathematics, statistics, financial engineering, or applied economics. The key is that the degree requirement must be tied to the discipline, not just any bachelor's degree. Roles with vague or generalist degree requirements can create problems at the LCA stage.
How does the E-3 compare to the H-1B for Quantitative Analyst roles?
The E-3 has no annual cap and no lottery, so you can accept a quant offer at any time of year and start within weeks of your consulate appointment. The H-1B visa is capped at 85,000 per year with a randomised lottery, meaning most applicants must wait until the following October start date even if selected. For time-sensitive quant roles, the E-3 is structurally more practical.
Can I switch employers or roles while on an E-3 as a Quantitative Analyst?
Yes, but each new employer must file a fresh LCA and you cannot start work until that LCA is certified and your new visa documentation is in order. If you're moving between quant roles at different firms, build in at least two to three weeks for the LCA process before your intended start date. Changing roles within the same employer may also require a new LCA if the job duties shift materially.