Green Card Quantitative Research Analyst Jobs
Quantitative Research Analyst roles qualify for employment-based green card sponsorship under EB-2 and EB-3, with employers filing PERM labor certification through DOL before advancing to I-140 petition and adjustment of status. Advanced degrees in mathematics, statistics, or economics strengthen EB-2 eligibility, while the PERM process documents that no qualified U.S. worker was displaced.
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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.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Quantitative Research Analyst
Match your degree to the PERM job description
PERM requires the employer to define minimum qualifications before advertising. If your master's in applied mathematics or financial engineering aligns precisely with those listed requirements, the I-140 petition under EB-2 is far easier to support than a loosely matched credential.
Target employers with active PERM filing history
Quantitative research roles at asset managers, hedge funds, and financial technology firms appear regularly in DOL PERM disclosure data. Searching that data by job title filters your target list to employers who have sponsored similar roles before, not just those who say they will.
Use Migrate Mate to find verified sponsoring employers
Search Migrate Mate to identify Quantitative Research Analyst positions at employers with documented green card filing history. The platform surfaces roles where sponsorship is an established practice rather than a case-by-case negotiation you'd have to initiate yourself.
Clarify EB-2 versus EB-3 at the offer stage
Ask the hiring team which preference category they intend to file under before signing an offer. EB-2 advanced degree petitions skip PERM if an NIW applies, while EB-3 professional filings require the full labor certification process and affect how far back your priority date will need to be current.
Understand how priority dates affect your timeline
For nationals of India and China, EB-2 and EB-3 priority date backlogs can extend wait times significantly beyond the PERM and I-140 stages. Check the monthly Visa Bulletin from DOS before accepting a role, so your expected green card timeline is realistic from day one.
Document your specialized skills for the OFLC Wage Search
PERM prevailing wage determinations use O*NET job zone and SOC code classifications. Quantitative Research Analyst roles typically map to job zone four or five, which affects the wage level DOL certifies. Confirm with your employer that the wage offered meets or exceeds the OFLC Wage Search result for your work location.
Green Card Quantitative Research Analyst: Frequently Asked Questions
Do Quantitative Research Analyst roles typically qualify for EB-2 or EB-3 sponsorship?
Most Quantitative Research Analyst positions qualify for EB-2 because the role normally requires at least a master's degree in mathematics, statistics, economics, or a related quantitative field. Employers can also file under EB-3 for candidates with a bachelor's degree. The category used affects your priority date and, for nationals of oversubscribed countries, your wait time before a green card becomes available.
How does green card sponsorship differ from H-1B for this role?
H-1B visa provides temporary work authorization subject to an annual lottery, while an employment-based green card through PERM leads to permanent residency with no renewal cycle. There is no annual cap on EB-3 filings at the petition stage, so your employer can start the PERM process at any point in the year. The tradeoff is that PERM and I-140 together typically take one to three years before a priority date becomes current.
What does the PERM labor certification process require for a quant analyst position?
The employer must conduct a DOL-supervised recruitment campaign demonstrating no qualified U.S. worker was available for the role. For Quantitative Research Analyst positions, job postings must reflect the actual minimum requirements the employer uses in practice, including degree field and any specialized skills like statistical modeling or programming languages. Inflated requirements or inconsistencies between the job ad and the actual role can trigger an audit.
Where can I find Quantitative Research Analyst jobs that offer green card sponsorship?
Migrate Mate lets you filter Quantitative Research Analyst roles by employers with verified employment-based green card filing history, so you're not spending time on positions where sponsorship is unlikely. Looking at DOL PERM disclosure data directly is another way to identify firms that have previously sponsored this job title, which signals an established internal process rather than a one-off situation.
Can a Quantitative Research Analyst self-petition for a green card without employer sponsorship?
Yes, under the National Interest Waiver (NIW) category within EB-2, you can file an I-140 without an employer's involvement if your research contributes to a U.S. national interest. Quantitative researchers whose work influences financial stability, public health modeling, or critical infrastructure analysis have pursued this path. USCIS evaluates NIW petitions on a case-by-case basis using a three-part framework, and approval is not guaranteed.