E-3 Visa Credit Risk Manager Jobs
Credit Risk Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in finance, economics, or a related field. The E-3 has no annual lottery, making it far more predictable than H-1B for Australian professionals targeting U.S. financial services and banking employers.
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Overview
One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity.
QuickBooks Capital is a nimble and high-priority business unit within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.
As a key leader of the Credit Risk Management team for Intuit’s business credit card product, this individual will be responsible for developing, optimizing and managing strategies for credit card underwriting, risk-based pricing, portfolio management, debt collections and loss forecasting. They will provide a strategic vision for growing product adoption by leveraging test and learn agendas, life time valuations based decisioning and risk prediction models. They will be responsible for developing and maintaining the credit policy for all stages of the product life cycle, and will be accountable for program performance.
They will lead a team of analysts to set analytical agendas by identifying business priorities, framing key risk questions, and translating them into clear analysis roadmaps for the team. They will identify business problems that require modeling solutions and collaborate heavily with the Data Science team in the development and deployment of risk and performance prediction models. They will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.
This individual will effectively partner with multiple cross-functional teams to implement and monitor strategy changes across the card lifecycle. They will partner heavily with the marketing team to identify prospects from Intuit’s vast customer base and drive customer acquisition efforts. This is a high visibility leadership role that presents an excellent opportunity to grow an analytical team through hiring, mentoring and developing talent.
Responsibilities
- Develop, implement and manage credit risk management strategies across customer targeting, underwriting, portfolio management, collections and drive overall card profitability
- Leverage cashflow analyses and other business data of Intuit’s Quick Books customers to enhance underwriting and overall risk management
- Develop A/B tests to help understand credit risk/return tradeoffs using hypothesis testing frameworks
- Develop monitoring frameworks and reporting on key performance indicators
- Establish performance expectations and maintain accountability for variance with actuals
- Partner with the Data Sciences team to develop and maintain models that predict multiple customer behaviors including default risk, utilization and profitability
- Partner with Product, Engineering, Compliance, Marketing, Operations, Capital Markets and other functions to implement and monitor credit strategy changes
- Proactively contribute innovative concepts for the creation of new financing products at Intuit
Qualifications
Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines
Minimum 8 years of experience in credit risk analytics and risk management, with some people management experience
Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning
Familiarity with credit data such as bureau attributes and risk scores, cash flow attributes and alternate data sources
Excellent analytical and problem-solving skills with a proven track record of converting analysis insights into business recommendations
Exceptional verbal and written communication skills to effectively communicate complex ideas and influence senior audiences in decision making
Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau
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. 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:
New York $182,000 - 246,000

Overview
One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity.
QuickBooks Capital is a nimble and high-priority business unit within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.
As a key leader of the Credit Risk Management team for Intuit’s business credit card product, this individual will be responsible for developing, optimizing and managing strategies for credit card underwriting, risk-based pricing, portfolio management, debt collections and loss forecasting. They will provide a strategic vision for growing product adoption by leveraging test and learn agendas, life time valuations based decisioning and risk prediction models. They will be responsible for developing and maintaining the credit policy for all stages of the product life cycle, and will be accountable for program performance.
They will lead a team of analysts to set analytical agendas by identifying business priorities, framing key risk questions, and translating them into clear analysis roadmaps for the team. They will identify business problems that require modeling solutions and collaborate heavily with the Data Science team in the development and deployment of risk and performance prediction models. They will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.
This individual will effectively partner with multiple cross-functional teams to implement and monitor strategy changes across the card lifecycle. They will partner heavily with the marketing team to identify prospects from Intuit’s vast customer base and drive customer acquisition efforts. This is a high visibility leadership role that presents an excellent opportunity to grow an analytical team through hiring, mentoring and developing talent.
Responsibilities
- Develop, implement and manage credit risk management strategies across customer targeting, underwriting, portfolio management, collections and drive overall card profitability
- Leverage cashflow analyses and other business data of Intuit’s Quick Books customers to enhance underwriting and overall risk management
- Develop A/B tests to help understand credit risk/return tradeoffs using hypothesis testing frameworks
- Develop monitoring frameworks and reporting on key performance indicators
- Establish performance expectations and maintain accountability for variance with actuals
- Partner with the Data Sciences team to develop and maintain models that predict multiple customer behaviors including default risk, utilization and profitability
- Partner with Product, Engineering, Compliance, Marketing, Operations, Capital Markets and other functions to implement and monitor credit strategy changes
- Proactively contribute innovative concepts for the creation of new financing products at Intuit
Qualifications
Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines
Minimum 8 years of experience in credit risk analytics and risk management, with some people management experience
Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning
Familiarity with credit data such as bureau attributes and risk scores, cash flow attributes and alternate data sources
Excellent analytical and problem-solving skills with a proven track record of converting analysis insights into business recommendations
Exceptional verbal and written communication skills to effectively communicate complex ideas and influence senior audiences in decision making
Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau
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. 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:
New York $182,000 - 246,000
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Credit Risk Manager
Frame your credentials for U.S. specialty occupation
Your Australian three-year bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Gather academic transcripts and a credential evaluation before approaching employers so you can confirm specialty occupation eligibility upfront.
Target financial institutions with LCA filing history
Banks, insurance firms, and asset managers regularly file Labor Condition Applications for risk roles. Search DOL's OFLC disclosure data for employers who have sponsored Credit Risk Manager positions to identify which institutions already understand the E-3 process.
Address the E-3 early in salary negotiations
DOL requires your offered wage to meet the prevailing wage for the role and location. Before accepting an offer, confirm the employer's proposed salary clears the prevailing wage threshold to avoid LCA certification delays down the line.
Prepare a specialty occupation justification for your role
Credit risk roles at some employers list a degree as preferred rather than required. If the job description is vague, work with your employer to document why the position genuinely requires a finance or quantitative degree, which is what the E-3 specialty occupation standard demands.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
The LCA must be certified by DOL before your visa interview, and errors cause delays. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, so your employer doesn't need prior sponsorship experience.
Book your consulate appointment before your start date deadline
E-3 visas are issued at Australian consulates in Sydney, Melbourne, and Perth, with appointment wait times varying by location and season. Lock in your interview date as soon as your LCA is certified to avoid pushing back your agreed start date.
Credit Risk Manager jobs are hiring across the US. Find yours.
Find Credit Risk Manager JobsCredit Risk Manager E-3 Visa: Frequently Asked Questions
How do I find Credit Risk Manager jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship, so you can filter Credit Risk Manager positions by employers who have sponsored the visa before. Standard job boards don't filter by visa type, which makes it easy to waste time on employers who won't sponsor.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Credit Risk Manager role qualify as an E-3 specialty occupation?
Yes. Credit Risk Manager roles require a bachelor's degree in finance, economics, statistics, or a related quantitative field, which meets the E-3 specialty occupation definition. The key is that the degree must be a genuine requirement of the position, not just a preference. Employers should reflect this in the job description and the LCA filing.
How does the E-3 compare to the H-1B for Credit Risk Manager roles?
The E-3 is significantly more straightforward for Australian nationals. There's no annual lottery, no random selection, and no cap that fills up. You can apply at any point in the year as long as you have a job offer and an approved LCA. H-1B registration opens once a year in March and selection is random, meaning a qualified candidate can be rejected purely by chance.
Can I switch Credit Risk Manager employers on an E-3 visa?
Yes, but the process starts fresh with each new employer. Your new employer must file a new LCA with DOL and you'll need to apply for a new E-3 visa at an Australian consulate before starting the new role. You can't transfer an E-3 the way some other visa categories allow. Plan for four to eight weeks of lead time when changing employers.
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