Green Card Risk Data Analyst Jobs
Risk Data Analyst roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available for the position. Strong statistical modeling skills, advanced degrees in quantitative fields, and experience with risk frameworks all support a sponsorship case.
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Get Access To All JobsINTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ROLE AND RESPONSIBILITIES
As a valued colleague on our team, you will contribute to risk monitoring and reviews for the organization, coordinate risk mitigation activities, and provide risk mitigation assistance to other groups.
Please note this position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
The Book Portfolio Credit Risk Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
- Assist team with monitoring and identifying risks to our portfolio through data analysis.
- Report on risks and participate in developing solutions.
- Provide data and quantitative analytics support to the SF leadership related to credit risk.
- Perform analysis to develop risk outlook to facilitate forward-looking credit risk management.
- Conduct research on emerging risks, to identify, assess and report emerging risks based on economic, market and other conditions.
- Assist with coordinating risk activities across groups.
- Support team with risk mitigation strategies.
- Carry out tasks to avoid risks or mitigate their impact.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
BASIC QUALIFICATIONS
Desired Experience:
- Bachelor's degree or equivalent; advanced degrees in related areas (e.g. quantitative finance, economics, statistics, etc.) preferred. At least 2 years' full-time working experience in related areas required.
- Possess an understanding of residential mortgage credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.
- Credit risk modeling and stress testing experience a plus.
- Experience with data analysis and utilizing data to identify trends or relationships to provide insights and inform decisions based on sound analysis. Experience gathering accurate information to explain rationale and answer critical questions.
- Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks.
- Strong skills in data query and processing using such tools as SQL, Python, and R.
- Experience in utilizing AI tools and technologies (such as ChatGPT, Copilot) to improve process, generate deliverables and gain efficiencies.
- Excellent verbal and written communication skills. Skilled in graphical representation of information using charts, diagrams, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Proven ability to present information and ideas to audiences in a compelling way that is engaging and easy to understand.
- Demonstrated relationship management skills with the ability to manage and engage stakeholders and build relationship networks. Able to effectively work with people with different functional expertise respectfully and cooperatively towards a common goal.
- Experience in influencing including persuading others, facilitating meetings, and resolving conflict to improve or correct performance to achieve desired outcomes.
- Skilled in Tableau.
- Skilled in Excel.
- Experience with SQL, Python, R.
PREFERRED QUALIFICATIONS
Qualifications: Amazon Web Services (AWS), Amazon Web Services (AWS), Artificial Intelligence (AI), Collaborating Cross-Functionally, Communication, Credit Risk Analysis, Credit Risk Modeling, Credit Risk Reporting, Data Analysis Interpretation, Data Mining, Data Query, Data Query Language, Data Visualization, Documentation Reporting, Identifying Risks, Machine Learning (AI), Predictive Modeling, Python (Programming Language), Quantitative Risk Analysis, Relationship Networking, Research Facilitation, Residential Mortgages, Risk Analysis, Risk Assessments, Risk Monitoring.
Education
Bachelor's Level Degree (Required), Master's Level Degree.
LOCATION
This position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
COMPENSATION
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
- Requisition compensation: 96000 to 124000
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
INTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ROLE AND RESPONSIBILITIES
As a valued colleague on our team, you will contribute to risk monitoring and reviews for the organization, coordinate risk mitigation activities, and provide risk mitigation assistance to other groups.
Please note this position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
The Book Portfolio Credit Risk Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
- Assist team with monitoring and identifying risks to our portfolio through data analysis.
- Report on risks and participate in developing solutions.
- Provide data and quantitative analytics support to the SF leadership related to credit risk.
- Perform analysis to develop risk outlook to facilitate forward-looking credit risk management.
- Conduct research on emerging risks, to identify, assess and report emerging risks based on economic, market and other conditions.
- Assist with coordinating risk activities across groups.
- Support team with risk mitigation strategies.
- Carry out tasks to avoid risks or mitigate their impact.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
BASIC QUALIFICATIONS
Desired Experience:
- Bachelor's degree or equivalent; advanced degrees in related areas (e.g. quantitative finance, economics, statistics, etc.) preferred. At least 2 years' full-time working experience in related areas required.
- Possess an understanding of residential mortgage credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.
- Credit risk modeling and stress testing experience a plus.
- Experience with data analysis and utilizing data to identify trends or relationships to provide insights and inform decisions based on sound analysis. Experience gathering accurate information to explain rationale and answer critical questions.
- Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks.
- Strong skills in data query and processing using such tools as SQL, Python, and R.
- Experience in utilizing AI tools and technologies (such as ChatGPT, Copilot) to improve process, generate deliverables and gain efficiencies.
- Excellent verbal and written communication skills. Skilled in graphical representation of information using charts, diagrams, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Proven ability to present information and ideas to audiences in a compelling way that is engaging and easy to understand.
- Demonstrated relationship management skills with the ability to manage and engage stakeholders and build relationship networks. Able to effectively work with people with different functional expertise respectfully and cooperatively towards a common goal.
- Experience in influencing including persuading others, facilitating meetings, and resolving conflict to improve or correct performance to achieve desired outcomes.
- Skilled in Tableau.
- Skilled in Excel.
- Experience with SQL, Python, R.
PREFERRED QUALIFICATIONS
Qualifications: Amazon Web Services (AWS), Amazon Web Services (AWS), Artificial Intelligence (AI), Collaborating Cross-Functionally, Communication, Credit Risk Analysis, Credit Risk Modeling, Credit Risk Reporting, Data Analysis Interpretation, Data Mining, Data Query, Data Query Language, Data Visualization, Documentation Reporting, Identifying Risks, Machine Learning (AI), Predictive Modeling, Python (Programming Language), Quantitative Risk Analysis, Relationship Networking, Research Facilitation, Residential Mortgages, Risk Analysis, Risk Assessments, Risk Monitoring.
Education
Bachelor's Level Degree (Required), Master's Level Degree.
LOCATION
This position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
COMPENSATION
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
- Requisition compensation: 96000 to 124000
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
See all 81+ Green Card Risk Data Analyst Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Risk Data Analyst
Document your quantitative credentials thoroughly
Gather transcripts, degree certificates, and official translations before outreach. PERM requires your employer to prove your qualifications match the job's minimum requirements, so gaps between your listed credentials and the posted role can stall certification.
Target firms with active PERM filing history
Financial institutions, insurance carriers, and consulting firms that regularly file PERM applications for data and analytics roles are far more likely to sponsor than companies encountering the process for the first time. Use Migrate Mate to filter specifically for employers with green card sponsorship history in quantitative roles.
Align your job title with DOL wage classifications
Risk Data Analyst maps to specific Standard Occupational Classification codes that determine your prevailing wage level under PERM. Use the OFLC Wage Search to check which wage tier applies in your target metro area before negotiating an offer.
Clarify sponsorship intent before accepting an offer
Ask directly during the offer stage whether the employer will cover PERM filing and I-140 petition costs, and whether they use outside counsel. Some firms sponsor but pass legal fees to employees, which affects your actual cost and timeline expectations.
Understand how your priority date affects wait times
EB-3 sponsorship has no annual cap on petitions, but visa number availability depends on your country of birth. Indian and Chinese nationals face multi-year backlogs in EB-3 even after I-140 approval, so factor your priority date into long-term planning.
Use O*NET to build a stronger specialty occupation case
The O*NET occupation profile for risk analysts details the degree requirements and specialized knowledge USCIS evaluates when assessing whether a role qualifies for EB-2. Mapping your actual duties to O*NET's task and skills taxonomy strengthens your employer's petition.
Green Card Risk Data Analyst: Frequently Asked Questions
Does a Risk Data Analyst role qualify for EB-2 or EB-3 sponsorship?
Most Risk Data Analyst positions qualify for EB-3 as skilled workers, requiring at least a bachelor's degree in a quantitative field like statistics, mathematics, or computer science. Roles requiring a master's degree or equivalent specialized experience in advanced risk modeling or quantitative finance may support an EB-2 petition. Your employer's job description and your actual credentials determine which category applies.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B visa is a temporary work visa requiring annual renewal and subject to a lottery, while PERM sponsorship leads to permanent residency with no recurring lottery risk. The PERM process requires your employer to conduct a federally supervised recruitment campaign proving no qualified U.S. worker is available. Once your I-140 is approved, your priority date is locked regardless of employer or job changes within the same occupational category.
How long does the PERM and green card process take for a Risk Data Analyst?
PERM labor certification currently takes 12 to 18 months at DOL, followed by USCIS processing of the I-140 immigrant petition, which runs 6 to 12 months for standard processing. After I-140 approval, visa availability depends on your country of birth. Applicants from countries without significant backlogs, such as Australia or the UK, can often adjust status within two to three years of starting PERM.
Where can I find Risk Data Analyst jobs that already offer green card sponsorship?
Migrate Mate lets you search specifically for Risk Data Analyst roles at employers with documented EB-2 and EB-3 sponsorship history, so you're not guessing about a company's willingness to sponsor. Filtering by sponsorship track record saves significant time compared to applying broadly and raising the topic cold during interviews.
Can I switch employers after my employer files PERM for a Risk Data Analyst position?
You can change employers after your I-140 has been approved for at least 180 days, as long as your new role is in the same or a similar occupational classification under AC21 portability rules. The new employer doesn't need to restart PERM, but your new role must be substantially similar in duties and qualifications to the one on the approved petition.