Nova Credit Visa Sponsorship Jobs USA
Nova Credit is a fintech company in the Business Support & Outsourcing space that helps immigrants build financial identity in the U.S., making it a natural fit for internationally minded talent. The company sponsors H-1B visa, Green Card, and other work visas, with a consistent if selective track record.
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Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. The company leverages its unique data infrastructure, industry-leading analytics & FCRA-compliance to help lenders fill in the gaps that exist in traditional credit analytics. Nova Credit provides access to the fragmented universe of consumer financial data and transforms it into compliant, actionable risk analytics through a suite of solutions designed to increase conversion through expanded coverage, speed, and reliability. Nova Credit supports over 7,000 businesses including organizations such as HSBC, SoFi, Scotiabank, Appfolio, and Yardi, who work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly and accurately verify income with Income Navigator, verify income and assets with Eligibility Compass, and reach new-to-country consumers with Credit Passport®. We were named in Forbes’ Fintech 50 in 2025 and Built In’s Best Places to Work, 2025. Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation, and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you!
THE OPPORTUNITY
The Senior Data Scientist role will be part of the Data Science team at Nova Credit, where you will play a crucial role in researching, designing, and developing our global data science strategy. Applying your critical thinking and analytical skills to data, traditional statistical modeling, and modern machine learning techniques, you will serve as a conduit to bring key functions together, including: data partnerships, risk and analytics, product, engineering, and customer success, to develop and implement our core data systems. Working closely with our customer-facing teams, you will demonstrate the strength of our products and services through data analytics and insights. Ultimately, your role is to ensure that Nova Credit’s products deliver high-quality predictive risk signals; every initiative you work on will be crucial to the company’s success.
This is a full-time, NYC-based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursdays) reporting directly to the Head of Data Science, based in the New York Metropolitan Area.
Responsibilities:
- Research and develop credit risk predictive models based on cross-border consumer performance data or bank transaction data.
- Research and develop bank transaction text classification models leveraging statistical models and/or large language models.
- Utilize bank transaction data to develop attributes for credit risk assessment, income verification, or other financial products.
- Research and develop models for document processing and tampering identification.
- Collaborate with our engineering organization to guide reliable deployments of data science products.
- Perform continuous research into new data sources, variables, and modeling methodologies.
- Develop and execute model monitoring solutions.
YOUR SKILLSET:
- 4+ Years relevant experience in data science, quantitative modeling, or machine learning.
- Relevant PhD or MS preferred (e.g., Data Science, Computer Science, Statistics, Applied Statistics, Operational Research).
- Required - Fluency in generalized linear models & machine learning methods and tools;
- Preferred - Experience with hypothesis testing.
- Required - Fluency using Python and SQL;
- Preferred - Experience using PySpark and Pola.rs.
- Preferred - NLP and document fraud experience.
- Preferred - consumer credit risk knowledge.
- Above all, the ability to break down new and complex problems into fundamental and solvable components.
COMPENSATION
- IC3: $140,000 - $166,250
- IC4: $168,000 - $199,500
The Base Salary Range for U.S.-based candidates and is dependent on individual experience, skills, education, location, and qualifications. We consider all elements of compensation as a part of the value we provide to Novans. This may include: base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. We offer U.S.-based Novans competitive, employer-subsidized medical, dental, and vision plans, in addition to mental health and wellness benefits and a range of other benefits & perks.
Everyone is welcome at Nova Credit. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Before submitting your application, please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information during the application process.
WHO WE ARE
Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. The company leverages its unique data infrastructure, industry-leading analytics & FCRA-compliance to help lenders fill in the gaps that exist in traditional credit analytics. Nova Credit provides access to the fragmented universe of consumer financial data and transforms it into compliant, actionable risk analytics through a suite of solutions designed to increase conversion through expanded coverage, speed, and reliability. Nova Credit supports over 7,000 businesses including organizations such as HSBC, SoFi, Scotiabank, Appfolio, and Yardi, who work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly and accurately verify income with Income Navigator, verify income and assets with Eligibility Compass, and reach new-to-country consumers with Credit Passport®. We were named in Forbes’ Fintech 50 in 2025 and Built In’s Best Places to Work, 2025. Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation, and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you!
THE OPPORTUNITY
The Senior Data Scientist role will be part of the Data Science team at Nova Credit, where you will play a crucial role in researching, designing, and developing our global data science strategy. Applying your critical thinking and analytical skills to data, traditional statistical modeling, and modern machine learning techniques, you will serve as a conduit to bring key functions together, including: data partnerships, risk and analytics, product, engineering, and customer success, to develop and implement our core data systems. Working closely with our customer-facing teams, you will demonstrate the strength of our products and services through data analytics and insights. Ultimately, your role is to ensure that Nova Credit’s products deliver high-quality predictive risk signals; every initiative you work on will be crucial to the company’s success.
This is a full-time, NYC-based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursdays) reporting directly to the Head of Data Science, based in the New York Metropolitan Area.
Responsibilities:
- Research and develop credit risk predictive models based on cross-border consumer performance data or bank transaction data.
- Research and develop bank transaction text classification models leveraging statistical models and/or large language models.
- Utilize bank transaction data to develop attributes for credit risk assessment, income verification, or other financial products.
- Research and develop models for document processing and tampering identification.
- Collaborate with our engineering organization to guide reliable deployments of data science products.
- Perform continuous research into new data sources, variables, and modeling methodologies.
- Develop and execute model monitoring solutions.
YOUR SKILLSET:
- 4+ Years relevant experience in data science, quantitative modeling, or machine learning.
- Relevant PhD or MS preferred (e.g., Data Science, Computer Science, Statistics, Applied Statistics, Operational Research).
- Required - Fluency in generalized linear models & machine learning methods and tools;
- Preferred - Experience with hypothesis testing.
- Required - Fluency using Python and SQL;
- Preferred - Experience using PySpark and Pola.rs.
- Preferred - NLP and document fraud experience.
- Preferred - consumer credit risk knowledge.
- Above all, the ability to break down new and complex problems into fundamental and solvable components.
COMPENSATION
- IC3: $140,000 - $166,250
- IC4: $168,000 - $199,500
The Base Salary Range for U.S.-based candidates and is dependent on individual experience, skills, education, location, and qualifications. We consider all elements of compensation as a part of the value we provide to Novans. This may include: base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. We offer U.S.-based Novans competitive, employer-subsidized medical, dental, and vision plans, in addition to mental health and wellness benefits and a range of other benefits & perks.
Everyone is welcome at Nova Credit. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Before submitting your application, please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information during the application process.
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Get Access To All JobsTips for Finding Nova Credit Visa Sponsorship Jobs USA
Target roles at the intersection of finance and technology
Nova Credit's core product bridges international credit data with U.S. financial systems. Engineering, data, and fintech product roles align closest with their sponsorship history, prioritize these when applying rather than generalist business functions.
Understand that sponsorship here is selective, not routine
Nova Credit sponsors visas on a case-by-case basis rather than at high volume. That means your application needs to clearly demonstrate specialized skills the team can't easily source domestically. Tailor your materials accordingly.
Lead with your immigration status early in the process
Because Nova Credit's sponsorship volume is modest, surprises late in hiring can stall offers. Mention your visa needs in your cover letter or initial screen so recruiters can align internally before investing heavily in your candidacy.
Leverage Nova Credit's mission alignment if you're an immigrant yourself
Nova Credit exists to serve immigrants navigating the U.S. financial system. Lived experience as an international professional is genuinely relevant, frame it as a product and culture asset, not just a background detail.
Know which visa types Nova Credit has sponsored before applying
Nova Credit has a track record with H-1B and Green Card pathways, as well as F-1 OPT and TN. Confirming your visa type is in their history helps set realistic expectations. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history before you apply.
Time your application around product and engineering hiring cycles
Like most fintech startups in the Business Support & Outsourcing space, Nova Credit tends to hire technical talent in bursts tied to funding and product milestones. Monitoring their open roles consistently improves your odds of catching active hiring windows.
Frequently Asked Questions
Does Nova Credit sponsor H-1B visas?
Yes, Nova Credit sponsors H-1B visas. The company has a history of filing H-1B petitions, primarily for technical and specialized roles. Sponsorship is selective rather than high-volume, so candidates in engineering, data, and product functions are best positioned. If you're on F-1 OPT, Nova Credit also has a track record with that pathway before transitioning to H-1B visa.
What visa types does Nova Credit sponsor?
Nova Credit sponsors H-1B visas, Green Cards through EB-2 and EB-3 categories, F-1 OPT for recent graduates, and TN visas for Canadian and Mexican nationals in qualifying roles. Green Card sponsorship indicates a willingness to support long-term immigration, which is a strong signal for candidates thinking beyond their initial work authorization.
Which departments or roles at Nova Credit are most likely to receive visa sponsorship?
Technical roles, software engineering, data science, machine learning, and product, account for the majority of visa sponsorships at companies like Nova Credit in the fintech and Business Support & Outsourcing space. Operations and go-to-market roles are occasionally sponsored but less consistently. Focusing your application on specialized, hard-to-fill positions gives you the strongest case for sponsorship consideration.
How do I find open visa-sponsored jobs at Nova Credit?
Migrate Mate is the most reliable way to find Nova Credit roles that come with confirmed visa sponsorship history. Rather than guessing from a standard job listing, Migrate Mate verifies sponsorship data so you can apply with confidence. Filter by Nova Credit directly to see current openings alongside the company's actual sponsorship track record.
How do I approach the application process at Nova Credit as a visa-sponsored candidate?
Be upfront about your visa needs from the first point of contact. Nova Credit's hiring volume is modest, so the recruiting team makes deliberate decisions about sponsorship on a per-role basis. Prepare to articulate exactly what visa type you need and when. If you're on OPT, highlight your STEM extension eligibility if applicable, it gives the company more runway before an H-1B petition is required.