OPT Risk Data Analyst Jobs
Risk Data Analyst roles are a strong fit for F-1 OPT students with backgrounds in statistics, finance, or data science. Most positions qualify as STEM-designated roles, supporting a 24-month OPT extension. Employers in banking, insurance, and fintech regularly sponsor H-1B visas for this role.
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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 supporting data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. Key responsibilities include reviewing and analyzing portfolio trends, supporting the development of more complex databases or queries to extract data, and supporting the production of data for internal and external reporting needs. Job expectations include working with Technology to implement changes necessary to support ongoing data needs.
Responsibilities
- Supports the development and execution of reporting to allow Risk and business partners to effectively identify and manage risk
- Analyzes trends and supports the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
- Provides analytical support on various product strategic initiatives affecting multiple Risk functions and lines of business to ensure company goals are met
- Participates in the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
- Supports with responding to complex ad-hoc requests for information from both internal and external parties
- Provides support on cross-functional efforts to remediate data quality issues
- Monitors the outputs of controls and investigates alerts from the control checks
Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation.
This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.
- Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.
- Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.
- Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.
- Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.
- Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.
- Review and provide input to technical solution designs from a business point of view and recommend alternatives.
- Communicate plans, progress and risks appropriately to the stakeholders and sponsors.
BASIC QUALIFICATIONS
- Bachelors or Masters in computer science, system analysis, Information Systems or related field.
- 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role
- Strong process/systems analysis, design and documentation.
- Strong analytical, critical thinking, and problem-solving skills.
- Ability to monitor tight deadlines and adapt to unexpected requirement changes.
- Strong Understanding of Risk Management and Data Management Principles
- Experience in Product Management: Ability to visualize functionality within a product, work with cross functional teams to deliver, market the product, create Road Shows/Office Hours, and onboard the users
- Experience in Project Management
- Create concise project plans
- Delivery Management
- JIRA advanced user
- Presentation Skills
- Business and Data Analysis Skills
- Create BRDs/DRDs
- SQL Skills
- Technical skills (Python etc) is a plus
- Data Quality/Profiling Awareness
- Data Lineage Awareness
- Business Analytics
- Tableau Experience
- Any BI Tool Experience
- Finance/Risk Domain Experience
- Stakeholder management and Communication Skills.
PREFERRED QUALIFICATIONS
- Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking
- Understanding or experience of programming in SQL, C/C++, Java
- Familiarity with databases, such as Oracle, Hadoop, etc.
- Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
- Experience with data modeling for complex data pipelines, data lake and data platforms.
- Experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
SKILLS
- Attention to Detail
- Business Intelligence
- Data and Trend Analysis
- Risk Analytics
- Risk Management
- Adaptability
- Collaboration
- Continuous Improvement
- Data Visualization
- Project Management
- Business Acumen
- Issue Management
- Regulatory Relations
- Stakeholder Management
- Technical Documentation
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 supporting data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. Key responsibilities include reviewing and analyzing portfolio trends, supporting the development of more complex databases or queries to extract data, and supporting the production of data for internal and external reporting needs. Job expectations include working with Technology to implement changes necessary to support ongoing data needs.
Responsibilities
- Supports the development and execution of reporting to allow Risk and business partners to effectively identify and manage risk
- Analyzes trends and supports the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
- Provides analytical support on various product strategic initiatives affecting multiple Risk functions and lines of business to ensure company goals are met
- Participates in the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
- Supports with responding to complex ad-hoc requests for information from both internal and external parties
- Provides support on cross-functional efforts to remediate data quality issues
- Monitors the outputs of controls and investigates alerts from the control checks
Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation.
This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.
- Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.
- Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.
- Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.
- Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.
- Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.
- Review and provide input to technical solution designs from a business point of view and recommend alternatives.
- Communicate plans, progress and risks appropriately to the stakeholders and sponsors.
BASIC QUALIFICATIONS
- Bachelors or Masters in computer science, system analysis, Information Systems or related field.
- 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role
- Strong process/systems analysis, design and documentation.
- Strong analytical, critical thinking, and problem-solving skills.
- Ability to monitor tight deadlines and adapt to unexpected requirement changes.
- Strong Understanding of Risk Management and Data Management Principles
- Experience in Product Management: Ability to visualize functionality within a product, work with cross functional teams to deliver, market the product, create Road Shows/Office Hours, and onboard the users
- Experience in Project Management
- Create concise project plans
- Delivery Management
- JIRA advanced user
- Presentation Skills
- Business and Data Analysis Skills
- Create BRDs/DRDs
- SQL Skills
- Technical skills (Python etc) is a plus
- Data Quality/Profiling Awareness
- Data Lineage Awareness
- Business Analytics
- Tableau Experience
- Any BI Tool Experience
- Finance/Risk Domain Experience
- Stakeholder management and Communication Skills.
PREFERRED QUALIFICATIONS
- Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking
- Understanding or experience of programming in SQL, C/C++, Java
- Familiarity with databases, such as Oracle, Hadoop, etc.
- Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
- Experience with data modeling for complex data pipelines, data lake and data platforms.
- Experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
SKILLS
- Attention to Detail
- Business Intelligence
- Data and Trend Analysis
- Risk Analytics
- Risk Management
- Adaptability
- Collaboration
- Continuous Improvement
- Data Visualization
- Project Management
- Business Acumen
- Issue Management
- Regulatory Relations
- Stakeholder Management
- Technical Documentation
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
See all OPT Risk Data Analyst Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Risk Data Analyst
Target STEM-eligible employers first
Risk Data Analyst roles at banks, insurance firms, and financial technology companies are almost always classified under STEM SOC codes. Prioritizing these employers maximizes your 24-month OPT extension eligibility and gives you more time to secure H-1B sponsorship.
Emphasize quantitative skills in your application
Employers sponsoring OPT students for risk roles want to see proficiency in SQL, Python, or R alongside experience with credit, market, or operational risk models. Concrete examples from coursework or internships signal you can contribute immediately without a long ramp-up period.
Understand your OPT employment requirements
Your risk analyst work must be directly related to your degree field to remain authorized under OPT. A finance or statistics degree supports most risk roles cleanly. If your degree is tangential, document the connection carefully before your DSO certifies employment.
Ask about H-1B sponsorship early but tactfully
Raise visa sponsorship after receiving an offer, not during early interviews. Ask specifically whether the company has sponsored H-1B petitions for risk or analytics roles before. A clear yes from a past hire in a similar position is the strongest signal you can get.
Build a profile that reduces perceived sponsorship risk
Employers hesitate when sponsorship feels uncertain. A strong GPA in a quantitative field, relevant certifications like FRM or CFA Level 1, and demonstrated experience with regulatory frameworks like Basel III reduce that hesitation significantly for risk-focused hiring managers.
Track your OPT authorization dates precisely
Risk analyst hiring cycles at large financial institutions move slowly. Know your OPT end date and the STEM extension application window. Filing the extension late disqualifies you from the 60-day grace period and can create an employment gap that complicates sponsorship timelines.
Risk Data Analyst OPT: Frequently Asked Questions
Do Risk Data Analyst jobs qualify for the STEM OPT extension?
Most Risk Data Analyst positions qualify for the 24-month STEM OPT extension because they fall under SOC codes in mathematics, statistics, or computer and information science. The specific SOC code your employer assigns matters. Before accepting an offer, confirm that the role is coded under a STEM-designated category. Your DSO can verify this against the official STEM OPT designation list.
How do I find Risk Data Analyst employers who sponsor OPT and H-1B visas?
Migrate Mate is built specifically for F-1 OPT students and filters jobs by sponsorship willingness, so you can browse Risk Data Analyst roles at employers who have a track record of sponsoring work visas. Large banks, insurance carriers, and fintech firms are the most consistent sponsors in this field. Avoid applying broadly and instead focus on employers with demonstrated sponsorship history.
Does my degree field need to match a Risk Data Analyst role for OPT authorization?
Yes. OPT requires that your employment be directly related to your degree. Statistics, applied mathematics, data science, economics, and finance degrees all connect cleanly to risk analyst work. Engineering degrees with quantitative coursework can also qualify. If the connection is indirect, document it in writing with your DSO before starting the role, since USCIS can audit OPT employment relevance.
Can I work as a contractor or consultant in a Risk Data Analyst role on OPT?
You can work as a contractor, but the arrangement requires careful structure. You must have a real employer-employee relationship with a U.S. entity, meaning that entity must sign your Form I-983 for STEM OPT. Staffing agency placements where the agency is your legal employer are permitted, but pure self-employment or independent contracting without an employer of record is not authorized under OPT.
What happens to my OPT status if I lose my Risk Data Analyst job?
You have a 60-day grace period after your employment ends during the standard OPT period, and a 60-day grace period during the STEM extension as well. During that window, you must either find a new qualifying risk analyst role, transfer to a different visa status, or prepare to depart. Report the job separation to your DSO immediately. Delaying that report can create compliance issues that complicate future sponsorship applications.