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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Get Access To All JobsINTRODUCTION
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
ABOUT ENTERPRISE RISK & INTERNAL AUDIT
The Enterprise Risk & Internal Audit department protects Affirm's operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth.
ABOUT THE TEAM
We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse.
- Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring
- Identify model weaknesses and opportunities for improvement
- Collaborate with model owners to remediate model validation findings
- Partner cross-functionally to implement and maintain the company's MRM framework
- Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests
WHAT WE LOOK FOR
- 4-6 years of professional experience in related technical areas such as model development, model validation, data science
- Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management
- Proven ability to work with script languages (e.g., Python) and large-scale dataset (e.g., SQL)
- Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases
- BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
- Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving
- Extraordinary interpersonal and verbal/written communication skills
Pay Grade - M
Equity Grade - 8
COMPENSATION
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
USA base pay range (all other U.S. states) per year: $164,000 - $224,000
WORK ARRANGEMENT
LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
BENEFITS
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
INTRODUCTION
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
ABOUT ENTERPRISE RISK & INTERNAL AUDIT
The Enterprise Risk & Internal Audit department protects Affirm's operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth.
ABOUT THE TEAM
We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse.
- Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring
- Identify model weaknesses and opportunities for improvement
- Collaborate with model owners to remediate model validation findings
- Partner cross-functionally to implement and maintain the company's MRM framework
- Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests
WHAT WE LOOK FOR
- 4-6 years of professional experience in related technical areas such as model development, model validation, data science
- Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management
- Proven ability to work with script languages (e.g., Python) and large-scale dataset (e.g., SQL)
- Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases
- BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
- Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving
- Extraordinary interpersonal and verbal/written communication skills
Pay Grade - M
Equity Grade - 8
COMPENSATION
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
USA base pay range (all other U.S. states) per year: $164,000 - $224,000
WORK ARRANGEMENT
LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
BENEFITS
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
See all 103+ STEM OPT Quantitative Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Quantitative Jobs.
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.