Statistical Analyst Jobs for OPT Students
Statistical Analyst roles qualify for OPT work authorization when the position requires a degree in statistics, mathematics, data science, or a related quantitative field. Most roles also qualify for the 24-month STEM OPT extension. Employers in finance, healthcare, and tech are among the most active sponsors.
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INTRODUCTION
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
ABOUT THE ROLE
The Commercial Statistical Analyst will work as part of Equifax's Commercial team that supports customers using Equifax's products for business-to-business use cases. The Commercial Statistical Analyst will be responsible for performing a variety of quantitative analyses for Equifax customers, or prospective customers, including financial service and other credit granting institutions, across the U.S. This position provides extensive opportunity for the right individual to be creative, grow, learn new things, and advance professionally. Intelligence, dedication, and the ability to work in an unstructured environment are the keys to success in this position.
YOUR ROLE AND RESPONSIBILITIES
- Analyze the predictiveness of Equifax’s scores and risk models for specific institutions
- Analyze the predictiveness of institutions' own scores, models and current credit/risk practices
- Evaluate the effectiveness of various methods of combining multiple scores and models, using alternative credit decisioning strategies, calculating the resulting economic impact, and presenting the findings to the institutions
- Work with institutions to help develop special datasets to be used to build custom scores and models
- Participate in the production of custom benchmarking and consulting studies for clients
- Design of new periodic statistics, proof of concept tools, score analysis, and customized research for clients
- Be able to explain Equifax solutions, complex analyses, and findings to internal stakeholders and external customers
- Collaborate with other Analytics professionals, Sales, Operations, I.T. staff, and management to support Equifax's customers' needs and to consult customers on designing credit and risk management strategies leveraging Equifax’s products
- Work on a variety of other projects, as they arise
- Travel: up to 10% (e.g. once per month, usually a day trip or one night stay)
BASIC QUALIFICATIONS
- College degree with a quantitative major (mathematics, statistics, computer science, engineering) or a business/economics major with significant quantitative coursework
- Minimum 3 years of professional experience are required
- Consistent with Equifax’s 3/2+2 flexible work framework, a willingness to work Tuesday, Wednesday, Thursday in Equifax’s Chicago-based office
PREFERRED QUALIFICATIONS
- Master’s Degree
- High level of mathematical ability and logical thinking
- Fluent English and strong verbal and written communications skills
- Knowledge of SQL, SAS, R or programming languages
- Experience working in credit/risk, data analytics, or other financial services roles
- Coursework or practical experience with Accounting and Statistics, particularly analyzing and working with very large datasets
Position does not offer immigration sponsorship or support, including F-1 STEM OPT extension support.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
LOCATION
Primary Location: USA-IL-Chicago
FUNCTION
Function - Sales Support
SCHEDULE
Full time

INTRODUCTION
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
ABOUT THE ROLE
The Commercial Statistical Analyst will work as part of Equifax's Commercial team that supports customers using Equifax's products for business-to-business use cases. The Commercial Statistical Analyst will be responsible for performing a variety of quantitative analyses for Equifax customers, or prospective customers, including financial service and other credit granting institutions, across the U.S. This position provides extensive opportunity for the right individual to be creative, grow, learn new things, and advance professionally. Intelligence, dedication, and the ability to work in an unstructured environment are the keys to success in this position.
YOUR ROLE AND RESPONSIBILITIES
- Analyze the predictiveness of Equifax’s scores and risk models for specific institutions
- Analyze the predictiveness of institutions' own scores, models and current credit/risk practices
- Evaluate the effectiveness of various methods of combining multiple scores and models, using alternative credit decisioning strategies, calculating the resulting economic impact, and presenting the findings to the institutions
- Work with institutions to help develop special datasets to be used to build custom scores and models
- Participate in the production of custom benchmarking and consulting studies for clients
- Design of new periodic statistics, proof of concept tools, score analysis, and customized research for clients
- Be able to explain Equifax solutions, complex analyses, and findings to internal stakeholders and external customers
- Collaborate with other Analytics professionals, Sales, Operations, I.T. staff, and management to support Equifax's customers' needs and to consult customers on designing credit and risk management strategies leveraging Equifax’s products
- Work on a variety of other projects, as they arise
- Travel: up to 10% (e.g. once per month, usually a day trip or one night stay)
BASIC QUALIFICATIONS
- College degree with a quantitative major (mathematics, statistics, computer science, engineering) or a business/economics major with significant quantitative coursework
- Minimum 3 years of professional experience are required
- Consistent with Equifax’s 3/2+2 flexible work framework, a willingness to work Tuesday, Wednesday, Thursday in Equifax’s Chicago-based office
PREFERRED QUALIFICATIONS
- Master’s Degree
- High level of mathematical ability and logical thinking
- Fluent English and strong verbal and written communications skills
- Knowledge of SQL, SAS, R or programming languages
- Experience working in credit/risk, data analytics, or other financial services roles
- Coursework or practical experience with Accounting and Statistics, particularly analyzing and working with very large datasets
Position does not offer immigration sponsorship or support, including F-1 STEM OPT extension support.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
LOCATION
Primary Location: USA-IL-Chicago
FUNCTION
Function - Sales Support
SCHEDULE
Full time
How to Get Visa Sponsorship as a Statistical Analyst
Lead with your quantitative degree match
Statistical Analyst is a designated STEM occupation. Explicitly connect your statistics, mathematics, or data science degree to the role in your resume summary. Employers need to confirm the degree-to-job alignment for OPT authorization purposes.
Target STEM OPT-eligible employers early
Not every employer is registered with E-Verify, which is required for the 24-month STEM extension. Ask during the screening call whether the company is E-Verify enrolled. This saves time and protects your extension eligibility before you invest in the process.
Quantify your statistical methods on your resume
Hiring managers look for specific tools and techniques: regression modeling, A/B testing, survival analysis, or Bayesian methods. Listing these with measurable outcomes makes your application stronger and confirms the role is genuinely quantitative, which supports OPT classification.
Clarify your OPT timeline upfront
Tell recruiters your OPT start date and expiration early in the process. Statistical Analyst roles often involve multi-round interviews spanning weeks. Starting this conversation early helps employers plan for your authorization window without last-minute surprises on either side.
Highlight software proficiency that signals specialization
Proficiency in R, SAS, SPSS, or Python statistical libraries signals you can contribute immediately. Employers who sponsor OPT students expect a shorter ramp-up period, so demonstrating tool fluency reduces perceived hiring risk and strengthens your candidacy considerably.
Pursue industries with high OPT sponsorship rates
Pharmaceuticals, financial services, and technology consistently file high volumes of OPT and STEM extension paperwork for statistical roles. Focusing your search on these industries improves your odds of finding employers already familiar and comfortable with the sponsorship process.
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Get Access To All JobsFrequently Asked Questions
Does a Statistical Analyst role qualify for the STEM OPT extension?
Yes, Statistical Analyst positions qualify for the 24-month STEM OPT extension when your degree is in statistics, mathematics, data science, applied mathematics, or a closely related STEM field. Your degree must appear on the STEM Designated Degree Program List, and your employer must be enrolled in E-Verify. You apply for the extension through your DSO before your standard OPT expires.
What degree fields support OPT authorization for Statistical Analyst jobs?
Degrees in statistics, biostatistics, mathematics, applied mathematics, data science, and econometrics are the strongest matches. Degrees in computer science, engineering, or physics can also qualify if your coursework was heavily quantitative. The key requirement is that your degree field has a direct and logical connection to the analytical duties of the specific Statistical Analyst role you are accepting.
How do I find Statistical Analyst employers who are comfortable sponsoring OPT students?
Migrate Mate is the recommended platform for F-1 OPT students searching for Statistical Analyst roles, as it surfaces employers who actively work with international candidates and OPT authorization. When applying elsewhere, prioritize larger employers in pharmaceuticals, financial services, and healthcare analytics, since those industries file OPT and H-1B paperwork routinely and have established HR processes for managing authorization timelines.
Can I work as a Statistical Analyst on a part-time basis during OPT?
Yes, but with restrictions. During standard OPT, you must work at least 20 hours per week to maintain valid status. During the STEM OPT extension, the same 20-hour minimum applies and your employer must provide structured training through a Form I-983 training plan. Working fewer than 20 hours, or having gaps longer than 90 days on standard OPT or 150 days on the STEM extension, can jeopardize your authorization.
What happens to my OPT status if my Statistical Analyst position is eliminated?
You have a cumulative unemployment allowance of 90 days during standard OPT and an additional 60 days during the STEM extension. If your position is eliminated, notify your DSO immediately and begin your job search within that window. Roles in data-heavy industries like healthcare IT, insurance analytics, and financial modeling tend to have steady demand for statistical skills, which can shorten your search timeline.
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