J-1 Visa Senior Financial Systems Analyst Jobs
Senior Financial Systems Analyst roles in the United States are accessible to international professionals through J-1 visa sponsorship, typically under the Trainee or Specialist program category. Designated sponsor organizations issue the DS-2019 form, while your host employer provides the structured training plan required for program approval.
Find J-1 Visa Senior Financial Systems Analyst JobsOverview
Showing 5 of 37+ Senior Financial Systems Analyst jobs
See all 37+ Senior Financial Systems Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Financial Systems Analyst roles.
Get Access To All JobsThe Energy and Photon Science Directorate advances basic science that underpins discoveries and breakthroughs for energy systems. The appointment will be for a one-year with an opportunity for a one-year renewal to perform research in the area of electric power grids based on funding and individual performance.
The successful candidate will contribute to the development of next-generation AI foundation models and AI-enabled workflows for electric applications. In particular, the position focuses on advancing GridFM, a grid foundation model for power systems.
The role offers unique opportunities to contribute to cutting-edge research while helping translate AI innovations into real-world utility applications that support grid modernization, resilience, and large-scale electrification.
Essential Duties and Responsibilities:
- Extend current GridFM capabilities for distribution networks
- Develop scalable graph-based machine learning or related models
- Expand training data generation capabilities
- Create benchmarks and test developed models
Required Knowledge, Skills, and Abilities:
- Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field.
- Strong background in machine learning and deep learning.
- Experience with PyTorch, JAX, TensorFlow, or similar frameworks.
- Some experience developing Graph Neural Networks (GNNs), Graph Transformers, or foundation-model architectures.
- Familiarity with model training, fine-tuning, evaluation, and deployment.
- Understanding of uncertainty quantification, model robustness, and physics-informed AI.
- Experience with GPU computing and large-scale model training.
- Demonstrated ability to conduct independent research.
Preferred Knowledge, Skills, and Abilities:
- Familiarity with distributed computing, HPC environments, and cloud platforms.
- Experience building production-quality software and ML pipelines.
- Familiarity with Git, CI/CD, containerization (Docker), and reproducible workflows.
- Experience developing APIs and workflow orchestration systems.
- Experience optimizing AI workloads for performance and scalability.
- Basic knowledge of electric power systems, transmission/distribution networks, power flow, optimal power flow, contingency analysis, or grid planning.
- Familiarity with tools such as PowerModels, MATPOWER, PSS/E, GridLAB-D, OpenDSS, or similar.
- Experience with mathematical optimization, mixed-integer programming, stochastic optimization, or decision analytics.
- Familiarity with Gurobi, CPLEX, Pyomo, JuMP, or related tools.
- Experience with LLM-based workflows, tool-calling agents, MCP architectures, retrieval systems, or AI copilots.
- Familiarity with multi-agent systems and decision-support applications.
Other Information:
Candidates must have completed all degree requirements by the commencement of employment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $70,200 - $85,000/ year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program
Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory. This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews.
As a U.S. Department of Energy laboratory, Brookhaven National Laboratory requires employees to obtain and maintain a DOE Uncleared Personal Identity Verification (UPIV) credential in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE facilities and information systems. As a condition of employment, the selected candidate must be able to obtain and maintain a UPIV credential. These requirements are established under DOE Order 206.2 Chg. 2, Identity, Credential, and Access Management (ICAM), and DOE Order 473.1A- Physical Protection Program.
About us
Brookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country.
Equal Opportunity/Affirmative Action Employer
Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. VEVRAA Federal Contractor
BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
The Energy and Photon Science Directorate advances basic science that underpins discoveries and breakthroughs for energy systems. The appointment will be for a one-year with an opportunity for a one-year renewal to perform research in the area of electric power grids based on funding and individual performance.
The successful candidate will contribute to the development of next-generation AI foundation models and AI-enabled workflows for electric applications. In particular, the position focuses on advancing GridFM, a grid foundation model for power systems.
The role offers unique opportunities to contribute to cutting-edge research while helping translate AI innovations into real-world utility applications that support grid modernization, resilience, and large-scale electrification.
Essential Duties and Responsibilities:
- Extend current GridFM capabilities for distribution networks
- Develop scalable graph-based machine learning or related models
- Expand training data generation capabilities
- Create benchmarks and test developed models
Required Knowledge, Skills, and Abilities:
- Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field.
- Strong background in machine learning and deep learning.
- Experience with PyTorch, JAX, TensorFlow, or similar frameworks.
- Some experience developing Graph Neural Networks (GNNs), Graph Transformers, or foundation-model architectures.
- Familiarity with model training, fine-tuning, evaluation, and deployment.
- Understanding of uncertainty quantification, model robustness, and physics-informed AI.
- Experience with GPU computing and large-scale model training.
- Demonstrated ability to conduct independent research.
Preferred Knowledge, Skills, and Abilities:
- Familiarity with distributed computing, HPC environments, and cloud platforms.
- Experience building production-quality software and ML pipelines.
- Familiarity with Git, CI/CD, containerization (Docker), and reproducible workflows.
- Experience developing APIs and workflow orchestration systems.
- Experience optimizing AI workloads for performance and scalability.
- Basic knowledge of electric power systems, transmission/distribution networks, power flow, optimal power flow, contingency analysis, or grid planning.
- Familiarity with tools such as PowerModels, MATPOWER, PSS/E, GridLAB-D, OpenDSS, or similar.
- Experience with mathematical optimization, mixed-integer programming, stochastic optimization, or decision analytics.
- Familiarity with Gurobi, CPLEX, Pyomo, JuMP, or related tools.
- Experience with LLM-based workflows, tool-calling agents, MCP architectures, retrieval systems, or AI copilots.
- Familiarity with multi-agent systems and decision-support applications.
Other Information:
Candidates must have completed all degree requirements by the commencement of employment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $70,200 - $85,000/ year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program
Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory. This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews.
As a U.S. Department of Energy laboratory, Brookhaven National Laboratory requires employees to obtain and maintain a DOE Uncleared Personal Identity Verification (UPIV) credential in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE facilities and information systems. As a condition of employment, the selected candidate must be able to obtain and maintain a UPIV credential. These requirements are established under DOE Order 206.2 Chg. 2, Identity, Credential, and Access Management (ICAM), and DOE Order 473.1A- Physical Protection Program.
About us
Brookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country.
Equal Opportunity/Affirmative Action Employer
Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. VEVRAA Federal Contractor
BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
See all 37+ J-1 Visa Senior Financial Systems Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Senior Financial Systems Analyst Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Senior Financial Systems Analyst
Build a training plan around ERP systems
Document your hands-on experience with platforms like SAP, Oracle Financials, or Workday before applying. Designated sponsors require a detailed training plan, and systems-specific credentials strengthen the case for a Trainee or Specialist program.
Verify your J-1 category eligibility early
The Trainee category suits professionals within five years of graduation or last employment abroad. The Specialist category fits those with significant field expertise. Misclassifying your stage delays DS-2019 issuance and can derail an offer.
Target host employers with internal finance systems teams
Companies running large ERP migrations or financial consolidation projects are more likely to structure formal training programs that satisfy J-1 visa program requirements. Use Migrate Mate to filter for roles with J-1 visa sponsorship alignment in financial systems and analytics.
Ask about the 2-year home residency requirement upfront
Specialist and Trainee participants from certain countries or government-funded programs must return home for two years after J-1 status ends. Confirm with your designated sponsor whether your situation triggers this requirement before accepting an offer.
Align your DS-2019 start date with the host employer's onboarding
Designated sponsors typically need two to four weeks to review and issue the DS-2019 after receiving a complete training plan. Coordinate that timeline directly with your host employer's HR team to avoid gaps between your intended start date and program approval.
Request prevailing wage documentation from your host employer
J-1 Trainee and Specialist programs require that compensation meets the prevailing wage for the role and location. Cross-check the offered rate against the OFLC Wage Search for your SOC code before your training plan is submitted to the designated sponsor.
Senior Financial Systems Analyst J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Senior Financial Systems Analyst role?
Most candidates qualify under the Trainee or Specialist category. Trainee applies if you graduated within the past five years or have been working in finance or information systems for fewer than five years outside the U.S. Specialist applies to experienced professionals with well-established expertise in financial systems. The host employer and designated sponsor determine the correct category based on your background and the structured training program they design.
Who actually sponsors the J-1 visa for this type of role?
The visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas or AIPT, not your hiring employer. The host employer provides the position and the training plan, but the designated sponsor reviews that plan, issues the DS-2019 form, and monitors your program compliance. Understanding this distinction matters when negotiating timelines and administrative responsibilities with a prospective employer.
How do I find U.S. employers open to hosting a J-1 financial systems analyst?
Migrate Mate lets you search for Senior Financial Systems Analyst roles at U.S. employers that align with J-1 sponsorship requirements. Focus on companies running active ERP implementations or finance transformation projects, as those roles are structured around skill-building objectives that map naturally onto J-1 training program documentation requirements.
Does the 2-year home residency requirement apply to financial systems professionals?
It can, depending on your country of nationality, whether your J-1 program receives government funding, and whether your occupation appears on the State Department's exchange visitor skills list. If triggered, the requirement bars you from changing to most other U.S. visa categories or obtaining a green card until you either fulfill the two-year period abroad or obtain a waiver. Confirm this with your designated sponsor before signing any offer.
What does the training plan need to cover for a Senior Financial Systems Analyst J-1 program?
The training plan must outline specific learning objectives tied to financial systems work, such as ERP configuration, financial reporting architecture, or systems integration. It should list the phases of training, the supervisor responsible for each phase, and measurable outcomes. Designated sponsors reject vague plans that read like standard job descriptions rather than structured development programs, so your host employer's HR or legal team needs to draft this carefully.