Green Card Quantitative Analyst Jobs
Quantitative analyst roles qualify for EB-2 sponsorship when they require an advanced degree in mathematics, statistics, or a related field, and for EB-3 as skilled professional positions. Employers file a PERM labor certification with DOL before sponsoring permanent residency, making green card sponsorship a realistic path for foreign professionals in this field.
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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 Analyst
Document your quantitative degree credentials early
PERM requires your employer to verify your degree matches the job's minimum requirements. Get your transcripts evaluated by a NACES-approved credential evaluator before you start applying, since mismatches in field-of-study delay the labor certification.
Target employers with active PERM filing history
Financial institutions, hedge funds, and tech firms that file PERM regularly have established internal processes. Search OFLC disclosure data to identify employers who have sponsored quantitative analyst roles specifically, not just general data science positions.
Search green card sponsoring roles on Migrate Mate
Migrate Mate filters quantitative analyst openings by employers actively sponsoring EB-2 and EB-3 green cards. This cuts out the guesswork of cold-applying and connects you with hiring managers whose companies already run the PERM process.
Confirm the offered role meets specialty occupation standards
For EB-2, the job must normally require an advanced degree in a specific quantitative field. If the posting says a bachelor's degree is acceptable, your employer will need to demonstrate in the PERM application why the advanced degree is a business necessity.
Ask employers about priority date strategy before accepting an offer
For nationals from India and China, EB-2 and EB-3 backlogs can run many years. Ask whether the employer will file both concurrently, or use EB-3 downgrade strategies, so your priority date is locked in as early as possible.
Understand how prevailing wage shapes your offer negotiation
DOL requires your employer to pay at least the PERM prevailing wage for your job title, level, and location. Check the OFLC Wage Search before negotiations so you know the certified wage floor and can assess whether the offer will clear it.
Green Card Quantitative Analyst: Frequently Asked Questions
Does a quantitative analyst role qualify for EB-2 green card sponsorship?
Yes. Quantitative analyst positions typically require at least a master's degree in mathematics, statistics, financial engineering, or a related quantitative field, which meets the EB-2 advanced degree requirement. Your employer must document in the PERM labor certification that the role genuinely requires that level of education, not just prefers it. Roles where a bachelor's degree is the stated minimum may be filed under EB-3 instead.
How does green card sponsorship differ from H-1B for quantitative analysts?
The H-1B visa grants temporary status in three-year increments and is subject to an annual lottery for most applicants. A PERM-based green card is permanent residency with no annual cap at the EB-3 level for most nationalities. The tradeoff is time: PERM labor certification, I-140 approval, and adjustment of status can take two to four years or longer before you hold a green card, compared to H-1B status starting within months.
Which employers sponsor green cards for quantitative analyst roles?
Banks, asset managers, hedge funds, insurance companies, and quantitative trading firms are the most consistent sponsors. You can verify an employer's PERM history by searching OFLC's public disclosure data for quantitative analyst job titles. Use Migrate Mate to filter job listings specifically to employers with active EB-2 and EB-3 sponsorship history in this occupation, rather than applying blind and asking later.
What happens to my green card sponsorship if I change employers mid-process?
If you leave before your I-140 is approved, your PERM labor certification is void and the new employer must restart from scratch. Once your I-140 is approved and your priority date is more than 180 days old, you may be able to port your pending green card to a new employer in the same or similar occupational category under AC21 portability rules, preserving your original priority date.
How long does the PERM process typically take for quantitative analyst positions?
DOL's prevailing wage determination currently averages several months, followed by the PERM labor certification itself. USCIS then adjudicates the I-140 petition, which can be accelerated with premium processing. For applicants from countries without a visa backlog, adjustment of status or consular processing can follow relatively quickly. Indian and Chinese nationals face EB-2 and EB-3 priority date backlogs that extend the total timeline significantly, often by many years.