Credit Risk Analyst Jobs in USA with Visa Sponsorship
Credit risk analysts are strong H-1B visa sponsorship candidates. The role qualifies as a specialty occupation requiring a bachelor's degree in finance, economics, or a related field, and financial services firms routinely sponsor both H-1B and O-1 visas for qualified analysts. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
K-Dimensional Holdings Inc. dba Coast
ROLE AND RESPONSIBILITIES
- Analyze internal and external data—including credit bureau, financial, transactional, and application data—to support and refine credit risk policies for underwriting, credit line adjustments, and account-level decisioning.
- Help create best-in-class credit policies and risk management infrastructure.
- Design and manage data reporting frameworks related to credit risk and fraud by partnering with data engineers and analytics teams.
- Contribute to the automation and optimization of credit risk operations by building decision frameworks and supporting risk modeling.
- Conduct data-driven investigations into potential fraud incidents such as identity theft or account takeovers.
- Perform root cause analysis to improve predictive capabilities for credit defaults and risk exposures.
- Collaborate cross-functionally with product, finance, legal, operations, sales, and marketing to develop and implement credit-related strategies and policies.
- May telecommute within a reasonable commuting distance from the New York office.
BASIC QUALIFICATIONS
Bachelor’s degree in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Data Science, Business Administration, Engineering, Actuarial Science, Information Systems, or Management Science and 2 years in credit risk analysis or related occupation within consumer or small and medium enterprise (SME) lending.
PREFERRED QUALIFICATIONS
2 years of experience in the following:
1. Deploying a SQL and Python;
2. MS office applications;
3. Root cause and statistical analysis related to credit defaults and risk exposures;
4. Building and maintaining data pipelines, utilizing SQL and Python, that includes data cleansing, wrangling, visualization, modeling, and interpretation related to credit risk and fraud;
5. dbt for data modeling and transformation related to credit risk and fraud;
6. Working with APIs;
7. Designing and managing data reporting frameworks related to credit risk and fraud;
8. Create underwriting and risk management strategies;
9. Investigating and evaluating efficiency of risk management policies, procedures, and processes; and
10. Partner with cross-functional teams to execute credit policies, improve operational tooling, and shape the risk management infrastructure.
LOCATION
Location: New York, NY (May telecommute within a reasonable commuting distance from the New York office)
COMPENSATION
Rate of pay: $90,000 to $140,000 per year
How to apply: Email resumes@coastpay.com with job reference #SCRA in subject line.
INTRODUCTION
K-Dimensional Holdings Inc. dba Coast
ROLE AND RESPONSIBILITIES
- Analyze internal and external data—including credit bureau, financial, transactional, and application data—to support and refine credit risk policies for underwriting, credit line adjustments, and account-level decisioning.
- Help create best-in-class credit policies and risk management infrastructure.
- Design and manage data reporting frameworks related to credit risk and fraud by partnering with data engineers and analytics teams.
- Contribute to the automation and optimization of credit risk operations by building decision frameworks and supporting risk modeling.
- Conduct data-driven investigations into potential fraud incidents such as identity theft or account takeovers.
- Perform root cause analysis to improve predictive capabilities for credit defaults and risk exposures.
- Collaborate cross-functionally with product, finance, legal, operations, sales, and marketing to develop and implement credit-related strategies and policies.
- May telecommute within a reasonable commuting distance from the New York office.
BASIC QUALIFICATIONS
Bachelor’s degree in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Data Science, Business Administration, Engineering, Actuarial Science, Information Systems, or Management Science and 2 years in credit risk analysis or related occupation within consumer or small and medium enterprise (SME) lending.
PREFERRED QUALIFICATIONS
2 years of experience in the following:
1. Deploying a SQL and Python;
2. MS office applications;
3. Root cause and statistical analysis related to credit defaults and risk exposures;
4. Building and maintaining data pipelines, utilizing SQL and Python, that includes data cleansing, wrangling, visualization, modeling, and interpretation related to credit risk and fraud;
5. dbt for data modeling and transformation related to credit risk and fraud;
6. Working with APIs;
7. Designing and managing data reporting frameworks related to credit risk and fraud;
8. Create underwriting and risk management strategies;
9. Investigating and evaluating efficiency of risk management policies, procedures, and processes; and
10. Partner with cross-functional teams to execute credit policies, improve operational tooling, and shape the risk management infrastructure.
LOCATION
Location: New York, NY (May telecommute within a reasonable commuting distance from the New York office)
COMPENSATION
Rate of pay: $90,000 to $140,000 per year
How to apply: Email resumes@coastpay.com with job reference #SCRA in subject line.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Credit Risk Analyst
Target banks and large financial institutions first
Large banks, credit card companies, and consumer finance firms file H-1B petitions at high volumes. They have established immigration counsel, streamlined sponsorship processes, and are familiar with the LCA and I-129 requirements for analyst roles.
Emphasize your quantitative and modeling skills
USCIS scrutinizes whether the role genuinely requires a specialized degree. Highlighting statistical modeling, credit scoring, and risk-weighted asset work demonstrates the specialized knowledge that supports a strong specialty occupation argument in your petition.
A finance, economics, or statistics degree strengthens your case
Credit risk analyst roles most reliably qualify as specialty occupations when paired with a directly related degree. A general business degree can work but may require additional documentation showing the degree is standard for the position.
CFA or FRM credentials can reinforce your petition
Professional designations like the CFA or FRM signal specialized expertise beyond a bachelor's degree. While not required, they add credibility to the employer's position description and strengthen the argument that the role demands specialized knowledge.
Fintech and lending startups sponsor too, not just banks
Non-bank lenders, fintech platforms, and credit analytics firms actively sponsor H-1B visas for risk analysts. These employers sometimes move faster through the process and may offer more flexibility than large institutional employers during hiring.
Browse Migrate Mate to find verified sponsoring employers
Not every employer lists sponsorship willingness upfront. Migrate Mate filters credit risk analyst roles by visa sponsorship availability, so you can focus your applications on employers who have already committed to sponsoring international candidates.
Credit Risk Analyst jobs are hiring across the US. Find yours.
Find Credit Risk Analyst JobsFrequently Asked Questions
Does a credit risk analyst role qualify for H-1B sponsorship?
Yes. Credit risk analyst is widely recognized as a specialty occupation because it typically requires at least a bachelor's degree in finance, economics, statistics, or a closely related field. USCIS has approved H-1B petitions for this title across banking, consumer lending, and fintech. The strength of the petition depends on how well the employer's job description ties the duties to a specific degree requirement.
Which degree fields best support an H-1B petition for this role?
Finance, economics, statistics, mathematics, and accounting are the strongest degree matches. These fields align directly with credit risk duties like probability of default modeling, portfolio analysis, and regulatory capital calculations. A general business administration degree can qualify but may face more scrutiny from USCIS, particularly if the job description doesn't require a specific field of study.
Do financial services employers commonly sponsor visas for risk analysts?
Yes. Banks, credit unions, insurance companies, and non-bank lenders are among the most active H-1B sponsors in the financial sector. Risk and quantitative analyst roles appear consistently in DOL LCA disclosure data. Fintech companies have also increased sponsorship activity significantly. You can browse currently sponsoring employers on Migrate Mate, which lists roles filtered by confirmed sponsorship.
Can I qualify for an O-1A visa as a credit risk analyst?
It's possible but difficult at the analyst level. The O-1A requires demonstrated extraordinary ability, typically evidenced through publications, industry awards, speaking engagements, or a high salary relative to peers. Senior risk professionals with published research, model patents, or recognized contributions to credit methodology have a more credible path. Most analysts at the mid-level pursue H-1B first and consider O-1A after building a stronger record.
What happens to my visa status if I'm laid off as a sponsored credit risk analyst?
If you're on H-1B status, you have a 60-day grace period from your last day of employment to find a new sponsoring employer, change visa status, or depart the U.S. Your new employer must file an H-1B transfer petition before or shortly after you start. Acting quickly is critical since the 60-day window doesn't extend. An immigration attorney can help you assess your options if a layoff occurs.
What is the prevailing wage requirement for sponsored Credit Risk Analyst 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.
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