STEM OPT Quantitative Jobs
Quantitative roles in finance, risk, and data science are among the strongest matches for STEM OPT students with degrees in mathematics, statistics, or computer science. Your 24-month STEM OPT extension applies here, provided your employer is enrolled in E-Verify and your role ties directly to your STEM degree field.
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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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ROLE AND RESPONSIBILITIES
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.
Responsibilities:
- Supports the extraction of data using a variety of programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
- Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
- Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions
- Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
- Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
- Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
- Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity
As a Client Quantitative Analyst, your main responsibilities will involve:
- Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, and technology
- Independently conducting quantitative analytics and developing new innovative analytic processes when needed
- Applying quantitative methods to further analytical capabilities that support BSA/AML compliance programs
- Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior
BASIC QUALIFICATIONS
- Ability to use data tools and techniques to find and deliver data from various sources of record
- Proven communications skills in describing complex data to inform strategic insights and decisions
- Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
- Coursework in finance, math/statistics and/or computer science
- 2+ years of experience in applied data science or quantitative research or related role
- Strong analytical and problem-solving skills
- Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics to a non-technical audience
- Ability to manipulate data from structured and unstructured sources
- Experience extracting and merging data from different database environments, including Hadoop
- Ability to work effectively in a fast-paced high-consequence environment
PREFERRED QUALIFICATIONS
- Master’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
- Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world
- Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions
- Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
- Effective at prioritization/time and project management
- Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution
- Experience gathering and communicating business requirements between technology product owners and engineering teams
Skills:
- Business Analytics
- Data Mining
- Data and Trend Analysis
- Analytical Thinking
- Business Intelligence
- Data Quality Management
- Data Visualization
- Application Development
- Business Acumen
- Continuous Improvement
- Innovative Thinking
- Quality Assurance
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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ROLE AND RESPONSIBILITIES
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.
Responsibilities:
- Supports the extraction of data using a variety of programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
- Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
- Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions
- Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
- Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
- Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
- Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity
As a Client Quantitative Analyst, your main responsibilities will involve:
- Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, and technology
- Independently conducting quantitative analytics and developing new innovative analytic processes when needed
- Applying quantitative methods to further analytical capabilities that support BSA/AML compliance programs
- Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior
BASIC QUALIFICATIONS
- Ability to use data tools and techniques to find and deliver data from various sources of record
- Proven communications skills in describing complex data to inform strategic insights and decisions
- Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
- Coursework in finance, math/statistics and/or computer science
- 2+ years of experience in applied data science or quantitative research or related role
- Strong analytical and problem-solving skills
- Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics to a non-technical audience
- Ability to manipulate data from structured and unstructured sources
- Experience extracting and merging data from different database environments, including Hadoop
- Ability to work effectively in a fast-paced high-consequence environment
PREFERRED QUALIFICATIONS
- Master’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
- Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world
- Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions
- Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
- Effective at prioritization/time and project management
- Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution
- Experience gathering and communicating business requirements between technology product owners and engineering teams
Skills:
- Business Analytics
- Data Mining
- Data and Trend Analysis
- Analytical Thinking
- Business Intelligence
- Data Quality Management
- Data Visualization
- Application Development
- Business Acumen
- Continuous Improvement
- Innovative Thinking
- Quality Assurance
Shift:
1st shift (United States of America)
Hours Per Week:
40
See all 552+ STEM OPT Quantitative Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Quantitative Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in Quantitative
Verify your CIP code covers quant roles
Your STEM OPT eligibility depends on your degree's CIP code, not just your field name. Confirm your DSO has coded your program correctly, since mathematics, statistics, and financial engineering CIP codes each map differently to quantitative analyst roles.
Check E-Verify enrollment before applying
Every employer who hires you on STEM OPT must be enrolled in E-Verify. Ask recruiting contacts directly whether the legal entity making your offer is enrolled, not just the parent company, since subsidiaries sometimes have separate E-Verify accounts.
Use O*NET to document your role qualifications
Before your I-983 training plan is drafted, look up your quantitative job title in O*NET to pull the official occupation description and required knowledge areas. This gives your employer concrete language to justify how the role connects to your STEM degree.
Anchor your I-983 to quant-specific learning goals
Generic I-983 training plans get flagged during USCIS audits. For quantitative roles, your learning objectives should reference specific skills like stochastic modeling, algorithmic strategy, or derivatives pricing that directly map to your degree coursework.
Target employers with quant-heavy LCA filing history
Use Migrate Mate to filter for employers who have filed Labor Condition Applications for quantitative analyst and related roles, so you're applying to firms with a documented record of sponsoring STEM OPT students in this function rather than guessing from job postings.
File your STEM OPT extension 90 days before OPT expires
Your DSO must recommend the STEM OPT extension in SEVIS, and USCIS must receive the I-765 before your initial OPT EAD expires. Filing at the 90-day window gives you cap-gap protection if an H-1B visa petition is filed on your behalf before October 1.
Frequently Asked Questions
Do quantitative analyst roles qualify for the STEM OPT extension?
Yes, provided your degree is in a qualifying STEM field such as mathematics, statistics, financial engineering, or computer science, and the quantitative role directly applies that training. Your DSO verifies eligibility based on your program's CIP code. Roles in algorithmic trading, risk modeling, and quantitative research consistently qualify when the degree-to-job connection is documented in the I-983 training plan.
What does my employer need to do to support my STEM OPT?
Your employer must be enrolled in E-Verify at the specific legal entity making your offer, not just a parent organization. They also co-sign your I-983 training plan, which outlines your learning objectives, supervision structure, and how the quantitative role connects to your STEM degree. USCIS may audit I-983 plans, so the training goals should be specific to your actual job duties, not a generic description.
How do I find quantitative employers enrolled in E-Verify?
Job postings rarely list E-Verify status, so you need a way to filter before applying. Migrate Mate shows employers with verified E-Verify enrollment alongside their LCA filing history for quantitative roles, so you can confirm eligibility before reaching the offer stage. You can also ask a recruiter directly which legal entity is making the offer and whether that entity is E-Verify enrolled.
What happens to my work authorization if I'm selected in the H-1B lottery during STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT EAD expires, cap-gap provisions extend your work authorization automatically through September 30 of that year, or until USCIS issues a final decision on your petition. You can continue working in your quantitative role during this period without interruption. USCIS confirms cap-gap eligibility on your I-20.
Can I switch quantitative employers while on STEM OPT?
Yes, but the new employer must also be enrolled in E-Verify, and you must file an updated I-983 training plan with your DSO within ten days of starting. Your DSO reports the employer change in SEVIS. If the new role is at a different employer type, such as a hedge fund versus a bank, confirm that your STEM degree still maps to the new job duties before filing the updated plan.