H-1B Visa Risk Data Analyst Jobs
Risk Data Analyst roles sit squarely within H-1B visa specialty occupation criteria, requiring at least a bachelor's degree in statistics, mathematics, finance, or a related quantitative field. Employers in banking, insurance, and fintech regularly sponsor H-1B petitions for this role, making it one of the more accessible paths for international professionals building a U.S. risk analytics career.
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Get Access To All JobsINTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ABOUT THE ROLE
This job is responsible for performing analytical requests, reporting and analysis, and assisting with modeling activities to help manage risk and minimize credit and operating losses. Key responsibilities include overseeing portfolio trends, developing data sets or queries to extract data, and supporting the production of internal and external reporting needs. Job expectations include effectively driving information and insights which have significantly impact regulatory, financial accountability, and directly impact to business policies and goals.
Responsibilities:
- Develops and executes reporting to allow risk and business partners to effectively identify and manage risk in an effective manner
- Identifies trends and manages the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
- Participates in various product strategic initiatives affecting multiple risk functions and lines of business to ensure company goals are met
- Facilitates the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
- Responds to complex ad-hoc requests for information from both internal and external parties
- Coordinates cross-functional efforts to remediate data quality issues
- Manages the outputs of controls and investigates alerts from the control checks
The Data Connections Subject Matter Expert (SME) Lead is responsible for developing deep expertise in business processes, data sources, data flows, and system architecture to enable automated testing that delivers timely, actionable, and risk-focused insights into the operational health of Bank of America processes. The role serves as a key liaison between business, technology, and testing teams to establish scalable data connectivity solutions that support automation, analytics, and continuous monitoring initiatives. Key responsibilities include:
- Stakeholder Engagement & Data Discovery: Partner with business stakeholders, application managers, and technology teams to understand business processes, data requirements, system architectures, and testing needs, translating these into scalable data connectivity solutions that support automation initiatives.
- Data Connectivity & Automation Enablement: Design, implement, and optimize data connections that enable automated testing, analytics, and monitoring capabilities while leveraging emerging technologies and automation solutions to improve efficiency, scalability, and adoption of new platforms.
- Project Leadership & Continuous Improvement: Lead cross-functional data quality, automation, and connectivity initiatives while driving process simplification, operational excellence, and continuous improvement across the end-to-end data onboarding and management lifecycle.
- Governance, Controls & Performance Management: Ensure data connectivity processes operate in accordance with established governance standards, service level agreements, quality controls, and performance metrics while promoting sustainable, reliable, and compliant solutions.
BASIC QUALIFICATIONS:
- Leadership, Ownership & Continuous Improvement
- Demonstrates strong critical thinking and problem-solving skills, with the ability to understand end-to-end business processes, data flows, and technology dependencies.
- Takes ownership of deliverables, effectively prioritizes competing demands, and drives high-quality outcomes in a fast-paced environment.
- Identifies opportunities to improve processes, strengthen controls, and increase operational efficiency through automation, standardization, and continuous improvement.
- Stakeholder Management & Communication
- Strong written, verbal, and presentation skills with the ability to communicate complex technical concepts to technical, business, and executive audiences.
- Builds strong relationships across business and technology teams, effectively influencing stakeholders and driving alignment on priorities and solutions.
- Demonstrates sound judgment, asks insightful questions, and translates complex requirements into clear, actionable recommendations.
- Technical & Data Expertise
- Strong understanding of structured and unstructured data, database concepts, data architectures, and data integration patterns.
- Proficient in SQL and Python, with experience analyzing data, troubleshooting issues, and developing scalable data solutions.
- Experience working with enterprise data platforms and technologies such as Hadoop, Trino, and other large-scale data environments, along with advanced proficiency in Microsoft Excel and PowerPoint.
REQUIRED EDUCATION & EXPERIENCE:
- Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration
- 5+ years of relevant work experience
SKILLS:
- Business Intelligence
- Data Visualization
- Issue Management
- Project Management
- Risk Management
- Business Acumen
- Continuous Improvement
- Risk Analytics
- Stakeholder Management
- Technical Documentation
- Adaptability
- Attention to Detail
- Data and Trend Analysis
- Performance Management
- Regulatory Relations
SHIFT:
1st shift (United States of America)
HOURS PER WEEK:
40
INTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ABOUT THE ROLE
This job is responsible for performing analytical requests, reporting and analysis, and assisting with modeling activities to help manage risk and minimize credit and operating losses. Key responsibilities include overseeing portfolio trends, developing data sets or queries to extract data, and supporting the production of internal and external reporting needs. Job expectations include effectively driving information and insights which have significantly impact regulatory, financial accountability, and directly impact to business policies and goals.
Responsibilities:
- Develops and executes reporting to allow risk and business partners to effectively identify and manage risk in an effective manner
- Identifies trends and manages the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
- Participates in various product strategic initiatives affecting multiple risk functions and lines of business to ensure company goals are met
- Facilitates the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
- Responds to complex ad-hoc requests for information from both internal and external parties
- Coordinates cross-functional efforts to remediate data quality issues
- Manages the outputs of controls and investigates alerts from the control checks
The Data Connections Subject Matter Expert (SME) Lead is responsible for developing deep expertise in business processes, data sources, data flows, and system architecture to enable automated testing that delivers timely, actionable, and risk-focused insights into the operational health of Bank of America processes. The role serves as a key liaison between business, technology, and testing teams to establish scalable data connectivity solutions that support automation, analytics, and continuous monitoring initiatives. Key responsibilities include:
- Stakeholder Engagement & Data Discovery: Partner with business stakeholders, application managers, and technology teams to understand business processes, data requirements, system architectures, and testing needs, translating these into scalable data connectivity solutions that support automation initiatives.
- Data Connectivity & Automation Enablement: Design, implement, and optimize data connections that enable automated testing, analytics, and monitoring capabilities while leveraging emerging technologies and automation solutions to improve efficiency, scalability, and adoption of new platforms.
- Project Leadership & Continuous Improvement: Lead cross-functional data quality, automation, and connectivity initiatives while driving process simplification, operational excellence, and continuous improvement across the end-to-end data onboarding and management lifecycle.
- Governance, Controls & Performance Management: Ensure data connectivity processes operate in accordance with established governance standards, service level agreements, quality controls, and performance metrics while promoting sustainable, reliable, and compliant solutions.
BASIC QUALIFICATIONS:
- Leadership, Ownership & Continuous Improvement
- Demonstrates strong critical thinking and problem-solving skills, with the ability to understand end-to-end business processes, data flows, and technology dependencies.
- Takes ownership of deliverables, effectively prioritizes competing demands, and drives high-quality outcomes in a fast-paced environment.
- Identifies opportunities to improve processes, strengthen controls, and increase operational efficiency through automation, standardization, and continuous improvement.
- Stakeholder Management & Communication
- Strong written, verbal, and presentation skills with the ability to communicate complex technical concepts to technical, business, and executive audiences.
- Builds strong relationships across business and technology teams, effectively influencing stakeholders and driving alignment on priorities and solutions.
- Demonstrates sound judgment, asks insightful questions, and translates complex requirements into clear, actionable recommendations.
- Technical & Data Expertise
- Strong understanding of structured and unstructured data, database concepts, data architectures, and data integration patterns.
- Proficient in SQL and Python, with experience analyzing data, troubleshooting issues, and developing scalable data solutions.
- Experience working with enterprise data platforms and technologies such as Hadoop, Trino, and other large-scale data environments, along with advanced proficiency in Microsoft Excel and PowerPoint.
REQUIRED EDUCATION & EXPERIENCE:
- Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration
- 5+ years of relevant work experience
SKILLS:
- Business Intelligence
- Data Visualization
- Issue Management
- Project Management
- Risk Management
- Business Acumen
- Continuous Improvement
- Risk Analytics
- Stakeholder Management
- Technical Documentation
- Adaptability
- Attention to Detail
- Data and Trend Analysis
- Performance Management
- Regulatory Relations
SHIFT:
1st shift (United States of America)
HOURS PER WEEK:
40
See all 36+ H-1B Visa Risk Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Risk Data Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Risk Data Analyst
Align your degree to SOC codes
Risk Data Analyst positions map to SOC 15-2051 (Data Scientists) or 13-2099 (Financial Analysts). Confirm your degree field matches the employer's LCA job description before applying. A mismatch is a common RFE trigger.
Use OFLC Wage Search before negotiating
Pull the prevailing wage for your target SOC code, experience level, and metro area through OFLC Wage Search. Your offered salary must meet or exceed that figure for the LCA to be certified, so verify this before accepting an offer.
Target E-Verify enrolled employers early
STEM OPT extensions require your employer to be E-Verify enrolled. For Risk Data Analyst roles that qualify under CIP code 27.0501 or similar STEM codes, confirm enrollment status before your OPT end date so your cap-gap window stays intact.
Search verified H-1B sponsors on Migrate Mate
Filter by risk analytics roles on Migrate Mate to see employers with documented H-1B LCA filing history in quantitative finance and data functions. This narrows your outreach to companies that have already cleared DOL certification for this role type.
Request premium processing at the offer stage
USCIS premium processing reduces adjudication to 15 business days. Ask your prospective employer whether they'll elect premium processing with the I-129 filing. It's a reasonable request for mid-cycle hires who can't afford a five-month wait.
Document your analytical tools in your resume
H-1B specialty occupation requires theoretical and practical application of specialized knowledge. Listing Python, SQL, SAS, or risk modeling frameworks directly supports the employer's I-129 argument that your role requires degree-level expertise, not general data work.
H-1B Visa Risk Data Analyst: Frequently Asked Questions
Does a Risk Data Analyst role qualify as an H-1B specialty occupation?
Yes, Risk Data Analyst roles qualify when the position requires at least a bachelor's degree in a specific field such as statistics, mathematics, economics, or finance. The employer must demonstrate that the degree is a normal requirement for the position, not just preferred. Roles that accept any bachelor's degree regardless of field are more likely to face an RFE from USCIS challenging the specialty occupation classification.
Which employers sponsor H-1B visas for Risk Data Analyst positions?
Banks, insurance carriers, hedge funds, and fintech companies are the most consistent H-1B sponsors for Risk Data Analyst roles, given their large quantitative teams and established immigration infrastructure. You can browse employers with verified H-1B LCA filing history in this field on Migrate Mate, which surfaces DOL Labor Condition Application data by role and employer so you can target companies that have already sponsored similar positions.
What happens to my H-1B status if my risk analyst role changes significantly at the same employer?
A material change in job duties, location, or SOC code classification can require your employer to file an amended I-129 petition with USCIS. If your role shifts from risk modeling to a generalist data function, or if you move to a different metropolitan area permanently, an amendment is typically required. Working without an amended petition when one is required can jeopardize your status.
Can I use O*NET to support my H-1B specialty occupation argument?
Yes. The O*NET profile for data scientists and quantitative analysts documents the degree requirements, knowledge areas, and skills associated with these roles. Employers and attorneys reference O*NET when building the specialty occupation argument in the I-129 petition. If your job description aligns with the tasks and education requirements listed in O*NET, it strengthens the evidentiary record submitted to USCIS.
How does the H-1B lottery affect my timeline for starting a Risk Data Analyst role?
The annual H-1B cap lottery opens in March, with selected registrants invited to file I-129 petitions for an October 1 start date. If you're on OPT when your petition is selected, the cap-gap rule extends your work authorization through September 30 while USCIS adjudicates. Employers hiring for risk analytics roles mid-year often use premium processing to compress the adjudication window after lottery selection.