Risk Operations Specialist Jobs in USA with Visa Sponsorship
Risk Operations Specialists are strong H-1B visa candidates because the role typically requires a finance, mathematics, or statistics degree, fields USCIS consistently recognizes as specialty occupations. Employers in banking, fintech, and insurance regularly sponsor this title. For detailed occupation requirements, see the O*NET profile.
Find Risk Operations Specialist JobsOverview
Showing 5 of 7,286+ Risk Operations Specialist jobs
See all 7,286+ Risk Operations Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Risk Operations Specialist roles.
Get Access To All JobsOverview
Come join Intuit as a Staff Risk Operations Process Excellence Consultant on the Operational Excellence Team. This is a staff individual contributor role for a process excellence leader who can identify, design, and drive AI-powered solutions that transform how Risk Operations works. You'll operate at the intersection of process excellence, applied AI, and operational strategy — identifying the highest-leverage opportunities across Underwriting, Fraud, Disputes, Collections, and Compliance, then partnering with engineering to design and deploy the AI tools, agents, and workflows that capture them. You'll drive a portfolio of 8–10 projects including multi-year initiatives, shape the AI roadmap for the department, and influence how Risk Ops scales through AI.
Responsibilities
-
AI Solution Design: Design end-to-end AI solutions for enterprise risk operations — agents, multi-step LLM workflows, RAG systems, and human-in-the-loop tooling — that materially change how reviews, decisions, and casework get done across multiple product types. Translate operational problems into AI solutions that Product & Engineering can productionize.
-
Portfolio Ownership: Drive 8–10 concurrent projects including multi-year initiatives, without need for continuous manager intervention, while achieving optimal and timely results aligned to strategic goals. Sequence quick wins against strategic bets and make tradeoffs explicit to leadership.
-
Process & Workflow Redesign: Apply DMAIC and Six Sigma lean principles to re-architect end-to-end workflows where AI unlocks step-change improvements — not just incremental automation of existing steps. Identify opportunities for process change or system improvement across the entire risk organization.
-
Engineering & Product Partnership: Serve as the operations-side counterpart to Eng/Product partners. Translate AI solution designs into clear requirements, weigh build-vs-buy, and influence platform decisions for AI tooling. Hold a credible technical conversation with engineers without being one.
-
Responsible AI & Governance: Embed model risk, evals, guardrails, and compliance review into every deployment. Partner with Compliance/Legal on governance frameworks for AI in regulated workflows (BSA/AML, Reg E, NACHA).
-
Strategic Communication: Translate complex AI solution tradeoffs and operational impact into exec-ready narratives. Build data-backed business cases that quantify impact and justify investment in AI infrastructure.
-
Influence & Mentorship: Hold yourself accountable to gathering resources and influencing partners on the importance of your work. Take time to teach and mentor others within the department to broaden their skills and develop their risk, business, and AI acumen.
-
Change Management & Adoption: Lead adoption strategy for AI tools across ~400 operators in 4 locations — training, measurement, and iteration based on real-world performance data.
Qualifications
Process Excellence
- Proficient in DMAIC (Define, Measure, Analyze, Improve, Control) and Six Sigma lean principles. Green Belt certification or equivalent experience required; Black Belt preferred.
- Proven ability to drive a portfolio of 8–10 projects including multi-year initiatives without continuous manager intervention.
- Track record of identifying opportunities for process change or system improvement across an entire organization, not just within a single function.
Risk Business Acumen
- Deep understanding of how a successful business operates, including the complexities of money movement, risk, and finance.
- Strong grasp of industry best practices, trends, and regulations across fintech risk operations (BSA/AML, Reg E, NACHA, CFPB, KYC, fraud typologies, chargebacks/disputes).
- 7+ years of experience leading operational, process excellence, or AI/automation initiatives in fintech or financial services.
AI Fluency & Solution Design
- Strong working knowledge of modern AI capabilities — LLMs, agents, RAG, evals, prompt design, tool use, human-in-the-loop patterns — sufficient to scope use cases, design solutions, and partner credibly with engineers.
- Track record of identifying high-leverage AI opportunities in operational workflows and translating them into concrete solution designs (not just ideas).
- Judgment on what makes AI solutions work in regulated, high-stakes environments — when to trust the model, when to add a human checkpoint, where the failure modes are, what "production-ready" means in a compliance context.
- Hands-on enough with AI tools that you've designed and iterated on your own prompts and workflows. You don't need to be an engineer, but you need to have actually used these systems deeply, not just talked about them.
Extreme Ownership
- Insatiable curiosity about the finance and technology industry, AI advancements, and global risk concerns. Continuously strives to learn and apply new capabilities.
- Takes immediate ownership of work and projects; escalates to leadership only when necessary.
- Holds self accountable for outcomes and for influencing partners on the importance of the work.
Executive Presence
- Masterful verbal, written, and presentation skills. Comfortable distilling complex AI solution design and process work into impactful summaries for executives.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Overview
Come join Intuit as a Staff Risk Operations Process Excellence Consultant on the Operational Excellence Team. This is a staff individual contributor role for a process excellence leader who can identify, design, and drive AI-powered solutions that transform how Risk Operations works. You'll operate at the intersection of process excellence, applied AI, and operational strategy — identifying the highest-leverage opportunities across Underwriting, Fraud, Disputes, Collections, and Compliance, then partnering with engineering to design and deploy the AI tools, agents, and workflows that capture them. You'll drive a portfolio of 8–10 projects including multi-year initiatives, shape the AI roadmap for the department, and influence how Risk Ops scales through AI.
Responsibilities
-
AI Solution Design: Design end-to-end AI solutions for enterprise risk operations — agents, multi-step LLM workflows, RAG systems, and human-in-the-loop tooling — that materially change how reviews, decisions, and casework get done across multiple product types. Translate operational problems into AI solutions that Product & Engineering can productionize.
-
Portfolio Ownership: Drive 8–10 concurrent projects including multi-year initiatives, without need for continuous manager intervention, while achieving optimal and timely results aligned to strategic goals. Sequence quick wins against strategic bets and make tradeoffs explicit to leadership.
-
Process & Workflow Redesign: Apply DMAIC and Six Sigma lean principles to re-architect end-to-end workflows where AI unlocks step-change improvements — not just incremental automation of existing steps. Identify opportunities for process change or system improvement across the entire risk organization.
-
Engineering & Product Partnership: Serve as the operations-side counterpart to Eng/Product partners. Translate AI solution designs into clear requirements, weigh build-vs-buy, and influence platform decisions for AI tooling. Hold a credible technical conversation with engineers without being one.
-
Responsible AI & Governance: Embed model risk, evals, guardrails, and compliance review into every deployment. Partner with Compliance/Legal on governance frameworks for AI in regulated workflows (BSA/AML, Reg E, NACHA).
-
Strategic Communication: Translate complex AI solution tradeoffs and operational impact into exec-ready narratives. Build data-backed business cases that quantify impact and justify investment in AI infrastructure.
-
Influence & Mentorship: Hold yourself accountable to gathering resources and influencing partners on the importance of your work. Take time to teach and mentor others within the department to broaden their skills and develop their risk, business, and AI acumen.
-
Change Management & Adoption: Lead adoption strategy for AI tools across ~400 operators in 4 locations — training, measurement, and iteration based on real-world performance data.
Qualifications
Process Excellence
- Proficient in DMAIC (Define, Measure, Analyze, Improve, Control) and Six Sigma lean principles. Green Belt certification or equivalent experience required; Black Belt preferred.
- Proven ability to drive a portfolio of 8–10 projects including multi-year initiatives without continuous manager intervention.
- Track record of identifying opportunities for process change or system improvement across an entire organization, not just within a single function.
Risk Business Acumen
- Deep understanding of how a successful business operates, including the complexities of money movement, risk, and finance.
- Strong grasp of industry best practices, trends, and regulations across fintech risk operations (BSA/AML, Reg E, NACHA, CFPB, KYC, fraud typologies, chargebacks/disputes).
- 7+ years of experience leading operational, process excellence, or AI/automation initiatives in fintech or financial services.
AI Fluency & Solution Design
- Strong working knowledge of modern AI capabilities — LLMs, agents, RAG, evals, prompt design, tool use, human-in-the-loop patterns — sufficient to scope use cases, design solutions, and partner credibly with engineers.
- Track record of identifying high-leverage AI opportunities in operational workflows and translating them into concrete solution designs (not just ideas).
- Judgment on what makes AI solutions work in regulated, high-stakes environments — when to trust the model, when to add a human checkpoint, where the failure modes are, what "production-ready" means in a compliance context.
- Hands-on enough with AI tools that you've designed and iterated on your own prompts and workflows. You don't need to be an engineer, but you need to have actually used these systems deeply, not just talked about them.
Extreme Ownership
- Insatiable curiosity about the finance and technology industry, AI advancements, and global risk concerns. Continuously strives to learn and apply new capabilities.
- Takes immediate ownership of work and projects; escalates to leadership only when necessary.
- Holds self accountable for outcomes and for influencing partners on the importance of the work.
Executive Presence
- Masterful verbal, written, and presentation skills. Comfortable distilling complex AI solution design and process work into impactful summaries for executives.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
See all 7,286+ Risk Operations Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Risk Operations Specialist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Risk Operations Specialist
Target financial services and fintech employers first
Banks, insurance companies, and fintech firms have established immigration programs and sponsor Risk Operations Specialists regularly. These employers are familiar with H-1B timelines and less likely to withdraw offers due to visa complexity.
Emphasize your quantitative degree in applications
USCIS approves H-1B petitions for this role most reliably when the applicant holds a degree in finance, mathematics, statistics, or economics. Lead with your academic background in your resume and cover letter to reinforce specialty occupation eligibility.
Ask about sponsorship before the final interview round
Raise the visa question after initial interest is established but before final rounds. Framing it as a logistics question rather than a barrier keeps the conversation straightforward and helps you avoid investing in processes where sponsorship was never possible.
Understand the H-1B lottery timing before you apply
H-1B registrations open in March for an October start date. If you need sponsorship urgently, look for cap-exempt employers such as universities and nonprofit research organizations, which can file H-1B petitions outside the annual lottery window.
Use your OPT or STEM OPT window strategically
If you graduated from a U.S. university with a qualifying STEM degree, STEM OPT gives you up to three years of work authorization. That window covers two H-1B lottery cycles, significantly improving your odds of selection before your status expires.
Document your role's degree requirement clearly
Employers must demonstrate to USCIS that the position requires a specific bachelor's degree. Ask your employer to include explicit degree requirements in the job description and offer letter, vague language like 'degree preferred' can create unnecessary complications during petition review.
Frequently Asked Questions
Is Risk Operations Specialist a good role for H-1B sponsorship?
Yes, it's a strong candidate for H-1B visa approval. The role typically requires a bachelor's degree in finance, statistics, mathematics, or a related quantitative field, which meets USCIS's specialty occupation standard. Employers in banking, insurance, and fintech sponsor this title regularly, and USCIS has a consistent record of approving it when the degree-to-job relationship is clearly documented.
What degree do I need for an employer to sponsor me as a Risk Operations Specialist?
A bachelor's degree in finance, mathematics, statistics, economics, or a closely related quantitative discipline is the most defensible credential for H-1B sponsorship in this role. Degrees in business administration or accounting may qualify depending on the employer's job description, but the stronger the alignment between your degree field and the risk function, the less likely USCIS is to issue a Request for Evidence.
Can I find Risk Operations Specialist roles that sponsor visas on Migrate Mate?
Yes. Migrate Mate focuses specifically on visa-sponsoring employers, so the Risk Operations Specialist listings there are filtered for companies willing to sponsor H-1B and other work visas. Browsing on Migrate Mate saves time compared to filtering through general job boards where sponsorship availability is rarely disclosed upfront.
Do large banks or financial institutions sponsor Risk Operations Specialists more reliably than smaller firms?
Generally, yes. Large financial institutions have in-house immigration counsel, established H-1B programs, and the budget to absorb filing costs and legal fees. Smaller fintech startups may be willing to sponsor but may lack experience with the process, which can lead to delays or errors. If you're on a tight timeline, prioritizing employers with a documented history of H-1B filings reduces execution risk.
What happens to my visa status if I'm laid off while working as a Risk Operations Specialist on an H-1B?
You enter a 60-day grace period from the date your employment ends. During that window, you can transfer your H-1B to a new employer, change to another visa status, or begin preparing to depart. Finding a new sponsoring employer quickly is critical. Because Risk Operations is an in-demand function across financial services, it's realistic to secure a transfer before the grace period expires.
What is the prevailing wage requirement for sponsored Risk Operations Specialist jobs?
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.