Affirm Visa Sponsorship Jobs USA
Affirm is a leading U.S. fintech company known for its buy now, pay later platform. It has a strong track record of sponsoring work visas across engineering, data, and product roles, making it a well-regarded option for international candidates targeting the Banking & Financial Services sector.
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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.
Job Roles at Affirm
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Get Access To All JobsTips for Finding Affirm Visa Sponsorship Jobs USA
Target engineering and data roles first
Affirm's strongest sponsorship history sits in software engineering, machine learning, and data science. These teams have the most consistent hiring of international talent, so focus your search on technical roles aligned with Affirm's core fintech infrastructure.
Understand Affirm's fintech compliance environment
Banking and financial services employers face stricter regulatory hiring requirements. Demonstrating familiarity with fintech compliance, risk frameworks, or consumer credit regulations signals you can contribute immediately, which strengthens your case for sponsorship consideration.
Apply early in the calendar year for H-1B timing
Affirm sponsors H-1B visas, and H-1B cap registrations open in March. Securing an offer before February gives Affirm enough lead time to file your registration and prepare petition documents without a rushed process.
Highlight OPT or CPT experience in your application
Affirm sponsors F-1 OPT and CPT, making it a viable path for students transitioning to full-time roles. If you have prior internship or STEM OPT experience in fintech or payments, lead with it, it reduces employer sponsorship risk and friction.
Use verified sponsorship data to prioritize your outreach
Not every Affirm role will be open to sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your applications on positions where international candidates have actually been hired.
Prepare for a structured, multi-stage interview process
Affirm typically runs technical screens, system design rounds, and behavioral interviews. For sponsored roles in financial technology, expect questions around scaling payments systems, fraud detection, or credit risk, prepare domain-specific examples alongside standard software engineering preparation.
Frequently Asked Questions
Does Affirm sponsor H-1B visas?
Yes, Affirm sponsors H-1B visas. The company has an active sponsorship track record with H-1B petitions concentrated in technical and product roles. If you're targeting Affirm on H-1B, aim to have an offer in place before the cap registration window opens in early March, since petitions require preparation time before USCIS filing deadlines.
Which visa types does Affirm sponsor?
Affirm sponsors H-1B, TN visa, F-1 OPT, and F-1 CPT visas, as well as permanent residence pathways including EB-2 and EB-3 Green Cards. This range makes Affirm a viable employer across multiple stages of an international candidate's career, from student internships through to long-term work authorization and permanent residency.
Which departments or roles at Affirm are most likely to be sponsored?
Sponsorship at Affirm is most concentrated in software engineering, machine learning, data science, and product management. These functions sit at the core of Affirm's fintech platform and have the most consistent demand for specialized talent. Finance, risk, and compliance roles in the Banking & Financial Services space also see sponsorship activity, though at lower volumes than engineering.
How do I find open sponsored roles at Affirm?
Migrate Mate is the most efficient way to find Affirm roles open to visa sponsorship. It aggregates positions from verified sponsoring employers, letting you filter by visa type and company so you're only applying where international candidates have a real shot. From there, apply directly through Affirm's careers page and flag your sponsorship needs early in the recruiter conversation.
How do I approach Affirm's hiring process as a visa sponsorship candidate?
Be upfront about your visa status in your initial recruiter screen. Affirm has an established sponsorship process, so recruiters are familiar with H-1B and OPT timelines. Prepare for a multi-stage technical process and, if you're on OPT, make sure your STEM OPT extension or cap-gap situation is clearly explained so the recruiting team can align hiring timelines with your authorization window.