Green Card Quantitative Jobs
Quantitative roles in finance, tech, and data science are among the most actively PERM-sponsored positions in the U.S. market. Employers filing EB-2 and EB-3 petitions for quant analysts, researchers, and modelers follow a defined labor certification process before sponsorship can begin. Understanding where you fit in that pipeline shortens your path to a green card.
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Get Access To All JobsLocation:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners’ problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the “bigger picture” and driving efficiency in solution delivery.
ESSENTIAL JOB FUNCTIONS
- Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?”
- Often responsible for large, complex problems that have broad implications and are less frequent
- Recommend solutions based on understanding of the context, connections, and conclusions
- Reviews deliverables; proactively coaches others on approach and work product
- Lead and evangelize on best practices of capturing and retaining data
- Coordinate with data stewards and anticipate needs process/procedures
- Make continuous improvements to data procedures, including data efficiency
- Recommend best analysis method for the situation
REQUIRED QUALIFICATIONS
Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience.
DATA LITERACY
Understanding of:
- Best practices for capturing / retaining data
- Pros / Cons of competing analysis methods
Experience leading by:
- Partnering with others to anticipate and understand needs process/procedures
- Leading information practices / policies / procedures
- Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
- Promoting increased efficiency of data analysis by advocating clearer data requirements
TECHNOLOGY & TECHNIQUES
- Advanced Microsoft Office Suite
- SQL/NoSQL
- Relationship data structure
- Selecting and retrieving data including unstructured data retrieval, archival, and ETL
- Databases
- Advanced Python/R/SAS:
- Databases
- Efficient coding
- Can build strong code controls and translate code into high-level commentary
- Understanding of and ability to leverage:
- Cloud-based computing
- Distributed computing
MODEL BUILDING & MAINTENANCE
Ability to:
- Establish standards and best practices; forecast future modeling tools / techniques
- Identify, employ, and evangelize emerging techniques from industry / research
- Coach others on data modeling methods / techniques
- Facilitate sessions for complex data models
- Assess and understand risks; contingency plans
- Communicate observations to senior executives
- Translate technical observations to a non-technical audience
EXPECTED COMPETENCIES
- Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
- Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
- Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
- Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the “bigger picture”; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
- Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right time through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/30/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
LI-Hybrid
Location:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners’ problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the “bigger picture” and driving efficiency in solution delivery.
ESSENTIAL JOB FUNCTIONS
- Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?”
- Often responsible for large, complex problems that have broad implications and are less frequent
- Recommend solutions based on understanding of the context, connections, and conclusions
- Reviews deliverables; proactively coaches others on approach and work product
- Lead and evangelize on best practices of capturing and retaining data
- Coordinate with data stewards and anticipate needs process/procedures
- Make continuous improvements to data procedures, including data efficiency
- Recommend best analysis method for the situation
REQUIRED QUALIFICATIONS
Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience.
DATA LITERACY
Understanding of:
- Best practices for capturing / retaining data
- Pros / Cons of competing analysis methods
Experience leading by:
- Partnering with others to anticipate and understand needs process/procedures
- Leading information practices / policies / procedures
- Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
- Promoting increased efficiency of data analysis by advocating clearer data requirements
TECHNOLOGY & TECHNIQUES
- Advanced Microsoft Office Suite
- SQL/NoSQL
- Relationship data structure
- Selecting and retrieving data including unstructured data retrieval, archival, and ETL
- Databases
- Advanced Python/R/SAS:
- Databases
- Efficient coding
- Can build strong code controls and translate code into high-level commentary
- Understanding of and ability to leverage:
- Cloud-based computing
- Distributed computing
MODEL BUILDING & MAINTENANCE
Ability to:
- Establish standards and best practices; forecast future modeling tools / techniques
- Identify, employ, and evangelize emerging techniques from industry / research
- Coach others on data modeling methods / techniques
- Facilitate sessions for complex data models
- Assess and understand risks; contingency plans
- Communicate observations to senior executives
- Translate technical observations to a non-technical audience
EXPECTED COMPETENCIES
- Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
- Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
- Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
- Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the “bigger picture”; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
- Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right time through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/30/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
LI-Hybrid
See all 2,038+ Green Card Quantitative Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in Quantitative
Match your degree to the EB tier
EB-2 requires a master's or higher in a quantitative field like mathematics, statistics, or financial engineering. If you hold a bachelor's plus five years of progressive quant experience, document that progression carefully because USCIS scrutinizes the degree-equivalency claim on I-140 petitions.
Target employers with active PERM history
Financial firms, hedge funds, and tech companies that filed PERM applications for quantitative analyst roles in the past two years are far more likely to sponsor again. Use Migrate Mate to filter green-card-sponsoring employers by role type before you apply.
Understand the prevailing wage before negotiating
Your offer salary must meet the DOL-certified prevailing wage for your specific SOC code and work location. Check the OFLC Wage Search before accepting an offer so you know which wage level your credentials support and can negotiate accordingly.
Verify the employer's E-Verify enrollment early
Employers must be E-Verify enrolled to sponsor a PERM-based green card. Confirm this during the interview process, not after an offer, because switching employers mid-petition resets your timeline and requires a new labor certification filing.
Use O*NET to align your job duties with PERM descriptions
PERM job descriptions must reflect the actual minimum requirements for the role, not your personal qualifications. Review the O*NET occupation profile for your quant title to understand how DOL defines the role and ensure your employer's filing language matches.
Account for concurrent filing if priority dates allow
If your country of birth has a current EB-2 or EB-3 priority date, your employer can file the I-140 and I-485 concurrently, letting you apply for work authorization while the green card processes. Confirm current Visa Bulletin dates with USCIS before your employer begins the PERM application.
Green Card Quantitative: Frequently Asked Questions
Do quantitative roles typically qualify for EB-2 or EB-3 sponsorship?
Most quantitative analyst and researcher positions qualify for EB-2 because they require at least a master's degree in mathematics, statistics, computer science, or a related field. Roles with a bachelor's degree minimum can still qualify for EB-2 if the employer accepts a degree plus five years of progressive quant experience as equivalent. EB-3 covers positions where the employer legitimately requires only a bachelor's degree.
How does PERM green card sponsorship differ from H-1B for a quant role?
H-1B visa is a temporary work visa subject to an annual lottery and a six-year cap, while PERM leads to permanent residency with no annual cap at the petition level. The PERM process takes longer upfront because it requires a DOL-supervised recruitment phase before filing, but the outcome is lawful permanent residency rather than a renewable temporary status. For most nationalities, EB-2 and EB-3 priority dates are current, meaning no multi-year backlog.
How long does the full EB-2 or EB-3 process take for a quantitative professional?
The PERM labor certification phase typically runs six to eighteen months depending on whether DOL audits the application. After approval, the employer files the I-140 petition with USCIS, which adds several more months under standard processing. If your priority date is current, you can file for adjustment of status concurrently with the I-140, compressing the overall timeline. Total time from PERM filing to green card approval commonly ranges from two to four years for non-backlogged nationalities.
Where can I find quantitative jobs that offer green card sponsorship?
Migrate Mate lets you search specifically for employers with active EB-2 and EB-3 PERM filing history for quantitative roles, so you spend time on applications where sponsorship is already an established part of the hiring process rather than a negotiation.
Can I change quant employers after my I-140 is approved but before I get my green card?
Yes, under AC21 portability rules, you can change to a same or similar quantitative role with a new employer after your I-140 has been approved and your I-485 has been pending for at least 180 days. The new role must fall under the same or a comparable SOC occupational category. Your priority date stays intact, but the new employer does not need to file a fresh PERM application.