STEM OPT Risk Data Analyst Jobs
Risk Data Analyst roles in financial risk modeling, credit analytics, and regulatory reporting sit squarely within STEM OPT eligibility. Your STEM degree unlocks a 24-month extension beyond initial OPT, giving you up to 36 months of work authorization, provided your employer is enrolled in E-Verify and signs your I-983 training plan.
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Get Access To All JobsTitle: Model Risk Analyst – Validation
Job Location: One M&T Plaza, Buffalo, NY 14203.
Job Description: Ensure the accuracy, reliability, and compliance of models in accordance with Company or regulatory standards and policies. Perform validation and analysis of expert judgment or qualitative factors that augment quantitative models. Analyze financial data, trends, and regulations to identify potential opportunities for improvement. Develop new models to address changing risk environments. Monitor model performance, prepare reports for internal and external stakeholders, and document findings. Stay abreast of industry best practices and regulatory changes. Provide guidance and advice to other departments regarding model risk management. Prepare written summary and analysis of all validation work, using a combination of word processing and presentation software skills.
Minimum requirements: Master’s degree (or foreign equivalent) in Applied Mathematics, Computing, Data Science, Materials Science, or related STEM field of study plus three (3) years of experience as a Model Risk Analyst, Data Scientist, Quantitative Analyst, Product Developer, or related occupation.
Requires Three (3) years of experience in each of the following:
- Programming Languages, including Python, MATLAB, C/C++, R and SAS.
- Technical Analyses, including in-sample back-testing, moving averages, time series analysis, z-score analysis, performance metrics evaluation, goodness-of-fit tests (including Kolmogorov-Smirnov test and Gini scores), and correlation matrices.
- Technical Writing, including writing technical reports using Microsoft Word, LaTeX, Markdown, or Git.
- Data Science concepts, including statistics and probability, exploratory data analysis (EDA), machine learning, model evaluation and selection, feature engineering, time series analysis, loss forecasting, and model validation concepts such as cross validation, model performance metrics selection, and bias-variance tradeoff.
- Building Regression Models (including Linear and Logistic Regression and Multinomial Regression Models) and handling multicollinearity, assumptions review, and evaluation of regression models using various validation techniques.
- Conducting independent review and validation of Machine Learning Models.
Skills can be gained through graduate-level coursework.
Salary: $91,463.04-$101,463.04 per year
Location
Buffalo, New York, United States of America
Title: Model Risk Analyst – Validation
Job Location: One M&T Plaza, Buffalo, NY 14203.
Job Description: Ensure the accuracy, reliability, and compliance of models in accordance with Company or regulatory standards and policies. Perform validation and analysis of expert judgment or qualitative factors that augment quantitative models. Analyze financial data, trends, and regulations to identify potential opportunities for improvement. Develop new models to address changing risk environments. Monitor model performance, prepare reports for internal and external stakeholders, and document findings. Stay abreast of industry best practices and regulatory changes. Provide guidance and advice to other departments regarding model risk management. Prepare written summary and analysis of all validation work, using a combination of word processing and presentation software skills.
Minimum requirements: Master’s degree (or foreign equivalent) in Applied Mathematics, Computing, Data Science, Materials Science, or related STEM field of study plus three (3) years of experience as a Model Risk Analyst, Data Scientist, Quantitative Analyst, Product Developer, or related occupation.
Requires Three (3) years of experience in each of the following:
- Programming Languages, including Python, MATLAB, C/C++, R and SAS.
- Technical Analyses, including in-sample back-testing, moving averages, time series analysis, z-score analysis, performance metrics evaluation, goodness-of-fit tests (including Kolmogorov-Smirnov test and Gini scores), and correlation matrices.
- Technical Writing, including writing technical reports using Microsoft Word, LaTeX, Markdown, or Git.
- Data Science concepts, including statistics and probability, exploratory data analysis (EDA), machine learning, model evaluation and selection, feature engineering, time series analysis, loss forecasting, and model validation concepts such as cross validation, model performance metrics selection, and bias-variance tradeoff.
- Building Regression Models (including Linear and Logistic Regression and Multinomial Regression Models) and handling multicollinearity, assumptions review, and evaluation of regression models using various validation techniques.
- Conducting independent review and validation of Machine Learning Models.
Skills can be gained through graduate-level coursework.
Salary: $91,463.04-$101,463.04 per year
Location
Buffalo, New York, United States of America
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Risk Data Analyst
Verify your CIP code before applying
STEM OPT eligibility depends on your degree's Classification of Instructional Programs code, not just your major's name. Confirm with your DSO that your program maps to a STEM-designated CIP code before submitting any OPT extension application to USCIS.
Check E-Verify status before accepting offers
Your employer must be enrolled in E-Verify before your STEM OPT extension start date. Search the E-Verify employer search tool by company name to confirm enrollment status, and ask HR for their E-Verify company ID during the offer stage.
Frame your risk modeling skills around regulatory data
Hiring managers for Risk Data Analyst roles prioritize candidates who've worked with Basel III, CCAR, or DFAST data structures. Tailor your resume to show proficiency in SQL, Python, and regulatory reporting frameworks before you start targeting financial institutions.
Target firms with active LCA filings in risk functions
Use Migrate Mate to filter employers by verified DOL Labor Condition Application filing history in risk and data analytics roles, so you're applying only to companies that have already demonstrated a pattern of hiring international candidates in this function.
Negotiate your I-983 training plan before your start date
The I-983 must specify your learning objectives, supervision structure, and how the role relates to your STEM degree. Align these details with your offer letter before day one, since your DSO needs a completed plan to recommend the STEM OPT extension to USCIS.
Apply early to protect your cap-gap if H-1B is next
If your STEM OPT ends during an H-1B visa petition cycle, cap-gap protection extends your authorization only if your employer files a timely H-1B petition. Coordinate with your employer on filing deadlines so there's no gap between your OPT expiration and H-1B status.
Frequently Asked Questions
Does a Risk Data Analyst role qualify for the STEM OPT extension?
Yes, if your employer is E-Verify enrolled and your degree carries a STEM-designated CIP code. Risk Data Analyst positions typically fall under data science, statistics, mathematics, or computer science programs. Your DSO can confirm whether your specific degree program is STEM-designated before you file the extension with USCIS.
What should the I-983 training plan include for a Risk Data Analyst?
Your I-983 must describe specific learning objectives tied to your STEM degree, such as applying statistical modeling or programming to credit risk, market risk, or regulatory capital calculations. It must name a qualified supervisor, define performance metrics, and explain how the day-to-day work advances your practical STEM skills beyond what classroom training provided.
How do I confirm a potential employer is enrolled in E-Verify?
Search the official E-Verify employer search by company name before accepting any offer. Enrollment is a strict requirement for STEM OPT, not an employer preference. If the company doesn't appear in the E-Verify search, they're ineligible to hire you on STEM OPT, and no exception exists regardless of company size or industry.
How does cap-gap work if my STEM OPT expires during an H-1B filing cycle?
Cap-gap automatically extends your OPT authorization if your employer files a timely, properly selected H-1B petition before your STEM OPT expires. Authorization continues until October 1 of the fiscal year the H-1B takes effect. You can't work beyond your OPT end date without a pending H-1B petition filed during the regular cap season.
Where can I find Risk Data Analyst jobs that accept STEM OPT candidates?
Migrate Mate filters Risk Data Analyst listings by employers with verified E-Verify enrollment and a demonstrated history of hiring international candidates, so you're not wasting applications on companies that won't work with your authorization. You can search by role, location, and employer filing history in one place without sorting through unqualified listings manually.