KeyBank H-1B Visa Sponsorship Jobs USA
KeyBank sponsors H-1B visas for roles across technology, finance, risk, and compliance, functions where specialized degree-backed expertise is central to the work. It's a consistent sponsor in the regional banking sector, making it a realistic target for international professionals pursuing long-term U.S. careers in financial services.
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127 Public Square, Cleveland Ohio
INTRODUCTION
The Quantitative Analytics Manager is primarily responsible for leading the 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 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
- Independently assess and validate models, inferential methodologies, and analytical frameworks to evaluate their appropriateness, robustness, and effectiveness in addressing business needs and ensuring reliable answers to “What will happen and how confident are we in the results”, including CECL, Stress Testing, and Consumer/Commercial Credit Risk models.
- Often responsible for large, complex problems that have broad implications and are less frequent.
- Identify and articulate observations based on a structured assessment of context, interdependencies, and analytical outcomes, and evaluate their impact on model soundness, reliability, and business use. Reviews deliverables; proactively coaches others on approach and work product.
- Assess and challenge data preparation practices against established standards and model requirements, engage with data stewards to review data quality, traceability, and efficiency from a validation perspective.
- Evaluate the appropriateness of analytical methods used and assess whether they are suitable and well-justified for the given context.
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 modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest), with the ability to evaluate, challenge, and validate model design, tuning approaches, and performance testing.
- 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 Validation & Review
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: 06/21/2026
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.
Location:
127 Public Square, Cleveland Ohio
INTRODUCTION
The Quantitative Analytics Manager is primarily responsible for leading the 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 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
- Independently assess and validate models, inferential methodologies, and analytical frameworks to evaluate their appropriateness, robustness, and effectiveness in addressing business needs and ensuring reliable answers to “What will happen and how confident are we in the results”, including CECL, Stress Testing, and Consumer/Commercial Credit Risk models.
- Often responsible for large, complex problems that have broad implications and are less frequent.
- Identify and articulate observations based on a structured assessment of context, interdependencies, and analytical outcomes, and evaluate their impact on model soundness, reliability, and business use. Reviews deliverables; proactively coaches others on approach and work product.
- Assess and challenge data preparation practices against established standards and model requirements, engage with data stewards to review data quality, traceability, and efficiency from a validation perspective.
- Evaluate the appropriateness of analytical methods used and assess whether they are suitable and well-justified for the given context.
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 modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest), with the ability to evaluate, challenge, and validate model design, tuning approaches, and performance testing.
- 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 Validation & Review
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: 06/21/2026
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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See all 378+ KeyBank Jobs
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Get Access To All JobsTips for Finding KeyBank H-1B Visa Sponsorship Jobs USA
Align your degree to KeyBank's specialty occupation roles
H-1B eligibility requires your degree to directly relate to the role. At KeyBank, technology, quantitative finance, and risk management positions most reliably satisfy USCIS's specialty occupation standard. Use O*NET to confirm your target job code requires a specific bachelor's degree field before applying.
Research KeyBank's LCA filings before interviewing
Before your first interview, look up KeyBank's prevailing wage filings for your target role using the OFLC Wage Search. This tells you which job titles KeyBank has sponsored before and at what wage levels, so you can position yourself for roles with an established sponsorship track record.
Target KeyBank's technology and data teams directly
Within regional banks like KeyBank, H-1B filings concentrate in enterprise technology, data engineering, and cybersecurity rather than branch operations. Search specifically for roles in those divisions. A hiring manager in tech infrastructure is far more familiar with H-1B timelines than one in retail banking.
Clarify sponsorship intent before the offer stage
Don't wait until an offer arrives to raise H-1B sponsorship. Ask the recruiter during the second or third interview round whether the role has H-1B eligibility and whether the team has sponsored the position before. This avoids late-stage rejections driven by internal policy, not candidate fit.
Use Migrate Mate to verify KeyBank's sponsorship history
Before investing significant time in KeyBank's interview process, run the employer on Migrate Mate to see which roles and departments have a documented H-1B filing history. That filing pattern is a more reliable signal of real sponsorship capacity than anything a recruiter says informally during a screening call.
File for H-1B cap registration before your OPT expires
The H-1B cap registration window opens each March. If you're on F-1 OPT at KeyBank, confirm your OPT end date against the USCIS registration calendar. A 60-day grace period follows OPT expiration, but cap-gap protection only applies if your registration is selected and KeyBank files your petition before your status lapses.
KeyBank H-1B Visa Sponsorship: Frequently Asked Questions
Does KeyBank sponsor H-1B visas?
Yes, KeyBank sponsors H-1B visas for qualifying positions, primarily in technology, data, risk management, and finance functions. Sponsorship is most common for roles that meet USCIS's specialty occupation definition, meaning the position requires at least a bachelor's degree in a directly related field. Not all roles or departments have equal sponsorship capacity, so confirming with the recruiter early is essential.
Which KeyBank departments are most likely to sponsor H-1B visas?
KeyBank's strongest H-1B sponsorship activity sits in enterprise technology, data and analytics, cybersecurity, and quantitative risk roles. These functions require degree-specific expertise that aligns with USCIS's specialty occupation criteria. Corporate and investment banking support roles in finance and compliance also generate H-1B filings, though less consistently than the technology division. Branch and retail banking roles rarely qualify.
How do I find out if a specific KeyBank role has H-1B sponsorship history?
Check KeyBank's Labor Condition Application filings through the OFLC Wage Search or use Migrate Mate, which surfaces DOL filing history by employer and job title. Prior LCA filings for a role are the clearest signal that KeyBank has sponsored that position before and understands the process. If no prior filings exist for the title, ask the recruiter directly whether the team has budget and legal support to file.
How do I navigate the H-1B process once KeyBank extends an offer?
Once you receive an offer, KeyBank's immigration counsel typically handles the Labor Condition Application filing with DOL and the I-129 petition with USCIS. Your role is to provide employment verification documents, educational credentials, and passport details. Confirm with your HR contact that KeyBank will cover filing fees and whether they offer premium processing, which shortens the USCIS review window significantly.
What is the realistic timeline for H-1B sponsorship at KeyBank?
The H-1B cap registration window runs each March, with selected applicants notified by late March or April. KeyBank must then file your I-129 petition by June, with an October 1 employment start date. From offer to authorization, the full cycle runs roughly six to eight months under standard processing. Premium processing reduces the USCIS adjudication window to about 15 business days after filing.
What is the prevailing wage for H-1B jobs at KeyBank?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.