H-1B Visa Analytics Lead Jobs
Analytics Lead roles qualify as H-1B visa specialty occupations under the data science and management analytics SOC codes. Employers filing LCAs must certify a prevailing wage, and cap-subject petitions enter the annual lottery. This page lists employers with active H-1B filing history for Analytics Lead positions.
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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 1,153+ H-1B Visa Analytics Lead Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Analytics Lead
Map your degree to SOC codes
USCIS evaluates specialty occupation eligibility by SOC code, not job title. Pull the O*NET profile for 'Data Scientist' or 'Operations Research Analyst' and confirm your degree field aligns before applying. A mismatch triggers RFEs.
Target employers with LCA filing history
Use Migrate Mate to filter Analytics Lead roles by employers who have certified LCAs for this title. Employers with a filing track record have cleared DOL prevailing-wage certification before, which shortens your timeline after an offer.
Verify the prevailing wage before negotiating
Run the OFLC Wage Search for your target SOC code and metro area before salary discussions. Your employer's LCA must certify at least the Level I-IV prevailing wage, so knowing the floor protects you from underpayment that could invalidate the petition.
Request premium processing in your offer negotiation
USCIS offers 15-business-day adjudication through premium processing for I-129 petitions. Analytics roles often have competing offers, so ask your employer to include premium processing in the sponsorship terms before you sign.
Document cross-functional leadership for specialty occupation
Analytics Lead roles blend technical and managerial duties. Compile evidence that your position requires a specialized degree, not just general business acumen. Letters from your employer explaining degree-specific duties strengthen the specialty occupation argument against RFEs.
Start the cap-gap clock before OPT expires
If you're on F-1 OPT when your H-1B is selected, cap-gap authorization extends your work eligibility through September 30. Confirm your employer files the I-129 before your EAD end date to avoid a gap between OPT expiration and H-1B activation.
H-1B Visa Analytics Lead: Frequently Asked Questions
Does an Analytics Lead role qualify as a specialty occupation for H-1B purposes?
Yes, Analytics Lead roles typically qualify because they require at least a bachelor's degree in a directly related field such as statistics, data science, computer science, or mathematics. USCIS evaluates the job duties and the degree requirement stated in the LCA. If your employer's job description allows any bachelor's degree without a field requirement, the petition is vulnerable to an RFE, so the job posting and offer letter should specify the relevant discipline.
Which employers sponsor H-1B visas for Analytics Lead positions?
Employers in technology, financial services, healthcare, and retail analytics have historically filed LCAs for Analytics Lead and related titles. You can browse verified H-1B sponsors for this role on Migrate Mate, which surfaces employers by their DOL Labor Condition Application filing history so you're not guessing who actually sponsors.
How does the prevailing wage requirement affect Analytics Lead salaries under H-1B?
Before filing your I-129 petition, your employer certifies a wage level with DOL through the LCA. For Analytics Lead roles, the prevailing wage depends on your SOC code, geographic area, and experience level. You can look up the wage floor for your location and job code using the OFLC Wage Search. Your actual offer must meet or exceed this certified wage for the duration of your H-1B status.
Can I switch employers in an Analytics Lead role without losing H-1B status?
Yes. Under AC21 portability, you can transfer your H-1B to a new employer in a same or similar occupational classification once your I-129 has been pending for 180 days. For Analytics Lead roles, 'same or similar' is evaluated by SOC code and job duties, not job title. Your new employer must file an H-1B transfer petition before you start working, but you don't need to wait for approval.
What documents should I prepare before an employer files my H-1B petition for an Analytics Lead role?
You'll need your degree certificates, official transcripts, and if your degree is from outside the U.S., a credential evaluation from a NACES-approved evaluator. For Analytics Lead positions, prepare a detailed job duty letter from your employer that maps each responsibility to a specific degree requirement. If you have a three-year international degree, the evaluation should confirm U.S. equivalency to a four-year bachelor's degree to avoid USCIS scrutiny.