SavvyMoney Visa Sponsorship USA
SavvyMoney is a fintech company operating in the Banking & Financial Services space, known for its credit score and financial wellness tools embedded in digital banking platforms. The company has sponsored work visas including H-1B and supports F-1 OPT and TN candidates, making it a viable target for international tech and finance professionals.
See All SavvyMoney JobsOverview
Showing 5 of 8+ SavvyMoney Visa Sponsorship USA jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 8+ SavvyMoney Visa Sponsorship USA jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new SavvyMoney Visa Sponsorship USA roles.
Get Access To All Jobs
INTRODUCTION
SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,500+ bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms.
SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company.
We are seeking a seasoned Data Scientist to join our team and lead initiatives in predictive modeling, personalization, and AI-driven financial recommendations. This individual will play a key role in building models that power personalized marketing, loan offers, credit improvement strategies, and next-best-action recommendations.
The role requires expertise in data analysis to uncover business opportunities, traditional machine learning methods (tree-based models, neural networks) and emerging techniques, including Large Language Models (LLMs). You will collaborate closely with engineering to deploy models into scalable, low-latency production environments, as well as work with business and product stakeholders to generate ad-hoc analytics and actionable insights.
Responsibilities
- Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization
-
Design, build, and optimize machine learning models for:
-
Marketing propensity modeling
- Personalized loan offers and recommendations
- Next-best-action predictions for improving credit scores
- Prototype solutions using advanced AI techniques to accelerate experimentation
- Partner with engineering teams to productionize models in a scalable and latency-conscious environment
- Query and analyze large datasets to uncover business insights and support decision-making
- Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards
- Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment
- Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing
- Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions.
Experience
- Master’s or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience)
- 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment
- Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.)
- Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks
- Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development
- Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.)
- Experience deploying machine learning models into production environments with considerations for scalability and latency
- Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
PREFERRED EXPERIENCE
- Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment
- Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.)
- Understanding of credit risk modeling, financial products, or consumer lending
- Experience working with APIs, real-time scoring, and event-driven architectures
WHY JOIN US?
- High Impact: Your models will directly shape how people access loans, improve credit scores, and receive personalized financial recommendations
- Innovation-First Culture: From tree-based models to neural networks and LLMs, you’ll have the freedom to prototype with state-of-the-art techniques and put them in action
- Cross-Functional Collaboration: Work closely with product, engineering, and business leaders to take ideas from prototype to production
- Mission-Driven: Help democratize financial wellness and unlock opportunities for millions
BASE SALARY
The annual base salary for this position is between $180,000 to $200,000 depending upon experience.
ADDITIONALLY WE PROVIDE
- Equity Compensation Package
- Flexible Time Off (FTO) - take time off as needed to rest and recharge
- Medical, Dental, Vision – 100% premium paid for employee
- Disability/Life Insurance
- Opportunity for learning and career growth with a top Bay Area technology company
- Reimbursement for remote work setup
- Monthly stipend for phone and internet
- Team building events, culture activities, all hands events
- Paid time off to volunteer and serve the community
- Half day Fridays
- 401k matching contribution
- Beautiful California East Bay offices in Dublin, CA
SavvyMoney’s EEO Statement
SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer.
We are committed to protecting your data. To learn more, please review the
SavvyMoney Employee Privacy Policy Notice here

INTRODUCTION
SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,500+ bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms.
SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company.
We are seeking a seasoned Data Scientist to join our team and lead initiatives in predictive modeling, personalization, and AI-driven financial recommendations. This individual will play a key role in building models that power personalized marketing, loan offers, credit improvement strategies, and next-best-action recommendations.
The role requires expertise in data analysis to uncover business opportunities, traditional machine learning methods (tree-based models, neural networks) and emerging techniques, including Large Language Models (LLMs). You will collaborate closely with engineering to deploy models into scalable, low-latency production environments, as well as work with business and product stakeholders to generate ad-hoc analytics and actionable insights.
Responsibilities
- Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization
-
Design, build, and optimize machine learning models for:
-
Marketing propensity modeling
- Personalized loan offers and recommendations
- Next-best-action predictions for improving credit scores
- Prototype solutions using advanced AI techniques to accelerate experimentation
- Partner with engineering teams to productionize models in a scalable and latency-conscious environment
- Query and analyze large datasets to uncover business insights and support decision-making
- Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards
- Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment
- Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing
- Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions.
Experience
- Master’s or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience)
- 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment
- Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.)
- Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks
- Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development
- Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.)
- Experience deploying machine learning models into production environments with considerations for scalability and latency
- Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
PREFERRED EXPERIENCE
- Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment
- Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.)
- Understanding of credit risk modeling, financial products, or consumer lending
- Experience working with APIs, real-time scoring, and event-driven architectures
WHY JOIN US?
- High Impact: Your models will directly shape how people access loans, improve credit scores, and receive personalized financial recommendations
- Innovation-First Culture: From tree-based models to neural networks and LLMs, you’ll have the freedom to prototype with state-of-the-art techniques and put them in action
- Cross-Functional Collaboration: Work closely with product, engineering, and business leaders to take ideas from prototype to production
- Mission-Driven: Help democratize financial wellness and unlock opportunities for millions
BASE SALARY
The annual base salary for this position is between $180,000 to $200,000 depending upon experience.
ADDITIONALLY WE PROVIDE
- Equity Compensation Package
- Flexible Time Off (FTO) - take time off as needed to rest and recharge
- Medical, Dental, Vision – 100% premium paid for employee
- Disability/Life Insurance
- Opportunity for learning and career growth with a top Bay Area technology company
- Reimbursement for remote work setup
- Monthly stipend for phone and internet
- Team building events, culture activities, all hands events
- Paid time off to volunteer and serve the community
- Half day Fridays
- 401k matching contribution
- Beautiful California East Bay offices in Dublin, CA
SavvyMoney’s EEO Statement
SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer.
We are committed to protecting your data. To learn more, please review the
SavvyMoney Employee Privacy Policy Notice here
Job Roles at SavvyMoney Companies
How to Get Visa Sponsorship in SavvyMoney Visa Sponsorship USA
Target roles at the intersection of finance and technology
SavvyMoney builds financial wellness software for banks and credit unions, so engineering, data, and product roles are where sponsorship is most likely. Align your application to their fintech focus rather than generic banking or finance positions.
Highlight experience with financial data or banking integrations
SavvyMoney's platform connects directly with financial institutions, so candidates who've worked with APIs, financial data pipelines, or banking software will stand out. Make that experience prominent in your resume and cover letter.
Apply before H-1B cap season to maximize your chances
If you need H-1B sponsorship, targeting SavvyMoney ahead of the April lottery registration window gives the hiring team time to evaluate you and commit before the deadline. Timing your outreach to Q1 is a strategic advantage.
Use Migrate Mate to verify sponsorship history before applying
Not every fintech company that sounds visa-friendly actually has a track record. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your applications on companies like SavvyMoney that have actually filed.
SavvyMoney jobs are hiring across the US. Find yours.
Find SavvyMoney JobsSee all 8+ SavvyMoney jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new SavvyMoney roles.
Get Access To All JobsFrequently Asked Questions
Does SavvyMoney sponsor H-1B visas?
Yes, SavvyMoney sponsors H-1B visas. The company operates in the fintech and Banking & Financial Services sector, and its sponsorship activity has been concentrated in technical roles. If you're targeting SavvyMoney for H-1B sponsorship, focus on software engineering, data, or product positions where the company has demonstrated a willingness to sponsor international candidates.
What visa types does SavvyMoney sponsor?
SavvyMoney sponsors H-1B visas and supports F-1 OPT and TN visa holders. This makes it accessible to a range of international candidates, including recent graduates on OPT, Canadian and Mexican professionals eligible for TN status, and experienced workers pursuing H-1B sponsorship. Coverage across multiple visa types reflects a degree of familiarity with the sponsorship process.
Which roles at SavvyMoney are most likely to receive visa sponsorship?
Given SavvyMoney's focus on credit score and financial wellness technology for banks and credit unions, sponsorship activity tends to align with technical and product-focused roles, including software engineers, backend developers, data analysts, and product managers. Roles closer to the core platform are more likely to attract sponsorship than general business or administrative positions.
How do I find open sponsored jobs at SavvyMoney?
Migrate Mate is the most reliable way to find verified visa-sponsoring employers like SavvyMoney and filter open roles by sponsorship history. Because SavvyMoney is a mid-sized fintech company, its open positions aren't always easy to find through general searches. Checking Migrate Mate alongside SavvyMoney's own careers page gives you the most complete picture of what's currently available.
How do I approach the application process at SavvyMoney as a visa-sponsored candidate?
Be transparent about your visa status early, particularly whether you're on OPT, need TN, or will require H-1B sponsorship. SavvyMoney's hiring team is familiar with the process, so clarity upfront avoids late-stage friction. If you're approaching the H-1B lottery deadline, reach out well before Q1 registration opens so there's enough runway for both sides to evaluate the fit before committing.
See which SavvyMoney employers are hiring and sponsoring visas right now.
Search SavvyMoney Jobs