STEM OPT Quantitative Jobs
Quantitative roles in finance, risk, and data science are among the strongest matches for STEM OPT students with degrees in mathematics, statistics, or computer science. Your 24-month STEM OPT extension applies here, provided your employer is enrolled in E-Verify and your role ties directly to your STEM degree field.
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726 Exchange Street, Buffalo New York
ABOUT THE JOB (JOB BRIEF)
Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
ESSENTIAL JOB FUNCTIONS
- Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
- Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis
- Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
- Use critical thinking to use the right approach for each problem statement
- Anticipate business need and make continuous improvements to models and processes
REQUIRED QUALIFICATIONS
Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
A minimum of 2 years of relevant experience or a minimum of 1 year experience with a Master’s or PhD
DATA LITERACY
Understanding of and ability to:
- Create data structures / transformations
- Identify and capture different types of information for business needs or necessary for analysis
- Data controls
- Hypothesis testing / root-cause analysis
- Leverage and anticipate considerations in implementation
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
Understanding of:
- Model use, requirements, and implementation needs
- Model Risk Management process and foundations
- Testing for deterioration and model health
- Scale and fundamental concepts of Machine Learning
- How statistical measurements are used
- Advanced data techniques for modeling frameworks
Ability to:
- Produce and identify information through statistical analysis
- Effectively explain model insights to peers and analytics community
- Identify preferred approach given the problem statement
EXPECTED COMPETENCIES
- Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems – improving something that already exists
- Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or “working group” level; Building influencing skills; demonstrated in area of expertise or assigned LOB
- Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
- Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the “why” question; Starting to understand impacts / intersections with others
- Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 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: 09/17/2026
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:
726 Exchange Street, Buffalo New York
ABOUT THE JOB (JOB BRIEF)
Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
ESSENTIAL JOB FUNCTIONS
- Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
- Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis
- Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
- Use critical thinking to use the right approach for each problem statement
- Anticipate business need and make continuous improvements to models and processes
REQUIRED QUALIFICATIONS
Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
A minimum of 2 years of relevant experience or a minimum of 1 year experience with a Master’s or PhD
DATA LITERACY
Understanding of and ability to:
- Create data structures / transformations
- Identify and capture different types of information for business needs or necessary for analysis
- Data controls
- Hypothesis testing / root-cause analysis
- Leverage and anticipate considerations in implementation
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
Understanding of:
- Model use, requirements, and implementation needs
- Model Risk Management process and foundations
- Testing for deterioration and model health
- Scale and fundamental concepts of Machine Learning
- How statistical measurements are used
- Advanced data techniques for modeling frameworks
Ability to:
- Produce and identify information through statistical analysis
- Effectively explain model insights to peers and analytics community
- Identify preferred approach given the problem statement
EXPECTED COMPETENCIES
- Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems – improving something that already exists
- Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or “working group” level; Building influencing skills; demonstrated in area of expertise or assigned LOB
- Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
- Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the “why” question; Starting to understand impacts / intersections with others
- Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 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: 09/17/2026
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 685+ STEM OPT Quantitative Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Quantitative
Verify your CIP code covers quant roles
Your STEM OPT eligibility depends on your degree's CIP code, not just your field name. Confirm your DSO has coded your program correctly, since mathematics, statistics, and financial engineering CIP codes each map differently to quantitative analyst roles.
Check E-Verify enrollment before applying
Every employer who hires you on STEM OPT must be enrolled in E-Verify. Ask recruiting contacts directly whether the legal entity making your offer is enrolled, not just the parent company, since subsidiaries sometimes have separate E-Verify accounts.
Use O*NET to document your role qualifications
Before your I-983 training plan is drafted, look up your quantitative job title in O*NET to pull the official occupation description and required knowledge areas. This gives your employer concrete language to justify how the role connects to your STEM degree.
Anchor your I-983 to quant-specific learning goals
Generic I-983 training plans get flagged during USCIS audits. For quantitative roles, your learning objectives should reference specific skills like stochastic modeling, algorithmic strategy, or derivatives pricing that directly map to your degree coursework.
Target employers with quant-heavy LCA filing history
Use Migrate Mate to filter for employers who have filed Labor Condition Applications for quantitative analyst and related roles, so you're applying to firms with a documented record of sponsoring STEM OPT students in this function rather than guessing from job postings.
File your STEM OPT extension 90 days before OPT expires
Your DSO must recommend the STEM OPT extension in SEVIS, and USCIS must receive the I-765 before your initial OPT EAD expires. Filing at the 90-day window gives you cap-gap protection if an H-1B visa petition is filed on your behalf before October 1.
Frequently Asked Questions
Do quantitative analyst roles qualify for the STEM OPT extension?
Yes, provided your degree is in a qualifying STEM field such as mathematics, statistics, financial engineering, or computer science, and the quantitative role directly applies that training. Your DSO verifies eligibility based on your program's CIP code. Roles in algorithmic trading, risk modeling, and quantitative research consistently qualify when the degree-to-job connection is documented in the I-983 training plan.
What does my employer need to do to support my STEM OPT?
Your employer must be enrolled in E-Verify at the specific legal entity making your offer, not just a parent organization. They also co-sign your I-983 training plan, which outlines your learning objectives, supervision structure, and how the quantitative role connects to your STEM degree. USCIS may audit I-983 plans, so the training goals should be specific to your actual job duties, not a generic description.
How do I find quantitative employers enrolled in E-Verify?
Job postings rarely list E-Verify status, so you need a way to filter before applying. Migrate Mate shows employers with verified E-Verify enrollment alongside their LCA filing history for quantitative roles, so you can confirm eligibility before reaching the offer stage. You can also ask a recruiter directly which legal entity is making the offer and whether that entity is E-Verify enrolled.
What happens to my work authorization if I'm selected in the H-1B lottery during STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT EAD expires, cap-gap provisions extend your work authorization automatically through September 30 of that year, or until USCIS issues a final decision on your petition. You can continue working in your quantitative role during this period without interruption. USCIS confirms cap-gap eligibility on your I-20.
Can I switch quantitative employers while on STEM OPT?
Yes, but the new employer must also be enrolled in E-Verify, and you must file an updated I-983 training plan with your DSO within ten days of starting. Your DSO reports the employer change in SEVIS. If the new role is at a different employer type, such as a hedge fund versus a bank, confirm that your STEM degree still maps to the new job duties before filing the updated plan.