Analytics Engineer Visa Sponsorship Jobs in South Dakota
Analytics engineer roles in South Dakota are concentrated around Sioux Falls, where financial services firms like Citibank and Wells Fargo maintain significant operations, alongside healthcare technology companies. The state's growing data infrastructure sector creates demand for analytics engineers who can bridge raw data pipelines and business intelligence, and several employers here have established H-1B visa sponsorship track records.
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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 a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm’s MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you.
YOUR ROLE AND RESPONSIBILITIES
- Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain.
- Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management.
- Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring to ensure model accuracy.
- Identification & Remediation: Detect critical model weaknesses and identify areas for improvement; collaborate with model owners and developers to track and resolve validation findings.
- Framework Enhancement: Partner with cross-functional stakeholders to implement and refine the enterprise-wide Model Risk Management (MRM) framework, ensuring it remains robust and innovative.
- Audit & Compliance: Coordinate with Accounting, Internal Controls, and Compliance teams to ensure all model activities meet or exceed internal standards and regulatory expectations.
BASIC QUALIFICATIONS
- Experience: 9+ years of professional experience in a highly technical role, such as model development, model validation, or quantitative analytics.
- Domain Expertise: Deep understanding of machine learning modeling, underwriting, and credit risk management.
- Technical Proficiency: Advanced ability to script in Python and expertise in using SQL to manipulate and analyze large-scale, complex datasets.
- Leadership & Influence: Proven track record of hiring, managing, and mentoring quantitative teams. Ability to transition seamlessly between high-level strategic oversight and detailed, hands-on technical work.
- Education: A BS, MS, or PhD in a quantitative discipline such as Statistics, Quantitative Finance, Mathematics, or Data Science.
- Analytical Mindset: A natural problem-solver with a meticulous eye for detail, a deep curiosity regarding model mechanics, and sharp critical-thinking skills.
- Communication: Exceptional interpersonal skills with a proven ability to distill and translate complex technical concepts for diverse audiences.
COMPENSATION
- Pay Grade - Q
- Equity Grade - 14
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: $255,000 - $315,000
USA base pay range (all other U.S. states) per year: $227,000 - $287,000
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 a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm’s MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you.
YOUR ROLE AND RESPONSIBILITIES
- Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain.
- Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management.
- Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring to ensure model accuracy.
- Identification & Remediation: Detect critical model weaknesses and identify areas for improvement; collaborate with model owners and developers to track and resolve validation findings.
- Framework Enhancement: Partner with cross-functional stakeholders to implement and refine the enterprise-wide Model Risk Management (MRM) framework, ensuring it remains robust and innovative.
- Audit & Compliance: Coordinate with Accounting, Internal Controls, and Compliance teams to ensure all model activities meet or exceed internal standards and regulatory expectations.
BASIC QUALIFICATIONS
- Experience: 9+ years of professional experience in a highly technical role, such as model development, model validation, or quantitative analytics.
- Domain Expertise: Deep understanding of machine learning modeling, underwriting, and credit risk management.
- Technical Proficiency: Advanced ability to script in Python and expertise in using SQL to manipulate and analyze large-scale, complex datasets.
- Leadership & Influence: Proven track record of hiring, managing, and mentoring quantitative teams. Ability to transition seamlessly between high-level strategic oversight and detailed, hands-on technical work.
- Education: A BS, MS, or PhD in a quantitative discipline such as Statistics, Quantitative Finance, Mathematics, or Data Science.
- Analytical Mindset: A natural problem-solver with a meticulous eye for detail, a deep curiosity regarding model mechanics, and sharp critical-thinking skills.
- Communication: Exceptional interpersonal skills with a proven ability to distill and translate complex technical concepts for diverse audiences.
COMPENSATION
- Pay Grade - Q
- Equity Grade - 14
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: $255,000 - $315,000
USA base pay range (all other U.S. states) per year: $227,000 - $287,000
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.
Analytics Engineer Job Roles in South Dakota
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Search Analytics Engineer Jobs in South DakotaAnalytics Engineer Jobs in South Dakota: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in South Dakota?
Sioux Falls-based financial services operations are the most consistent sponsors, with Citibank and Wells Fargo both filing H-1B petitions for data and analytics roles in the state. Sanford Health, one of the largest employers in South Dakota, has also sponsored technical roles tied to healthcare data platforms. Smaller fintech and insurance firms in the Sioux Falls metro occasionally sponsor analytics engineers when qualified local candidates aren't available.
Which visa types are most common for analytics engineer roles in South Dakota?
The H-1B is by far the most common visa category for analytics engineers in South Dakota, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates already holding OPT or STEM OPT authorization through South Dakota universities can begin working before an employer files an H-1B petition. The O-1A is an option for candidates with documented exceptional ability, though it applies to a narrow set of applicants.
Which cities in South Dakota have the most analytics engineer sponsorship jobs?
Sioux Falls accounts for the large majority of analytics engineer sponsorship activity in South Dakota, driven by its concentration of financial services, insurance, and healthcare technology employers. Rapid City has a smaller but growing technology sector, with some defense contracting and healthcare firms posting data roles. The rest of the state is largely rural, with limited sponsorship activity outside these two metros.
How to find analytics engineer visa sponsorship jobs in South Dakota?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search analytics engineer roles in South Dakota without sorting through positions that don't offer sponsorship. Because South Dakota's market is smaller than coastal tech hubs, setting up alerts on Migrate Mate for Sioux Falls and Rapid City ensures you catch new postings quickly. Filtering by employer size can also help, as larger financial services and healthcare firms in the state are more likely to have established sponsorship processes.
Are there state-specific considerations for analytics engineers pursuing sponsorship in South Dakota?
South Dakota has no state income tax, which affects prevailing wage comparisons since take-home pay differs from states with higher tax burdens, though the Department of Labor sets prevailing wages by occupation and metro area regardless. The University of South Dakota and South Dakota State University produce some local analytics and computer science graduates, meaning employers may have existing pipelines but still look nationally and internationally when specialized skills in dbt, Spark, or cloud data stacks are required.
What is the prevailing wage for sponsored analytics engineer jobs in South Dakota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.