STEM OPT Quantitative Analyst Jobs
Quantitative Analyst roles in finance, risk, and data science are strong fits for STEM OPT students with degrees in mathematics, statistics, computer science, or financial engineering. Your 24-month STEM OPT extension is available once you secure a role at an E-Verify-enrolled employer and file an I-983 training plan with your DSO.
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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 553+ STEM OPT Quantitative Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Quantitative Analyst Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Quantitative Analyst
Verify your degree's CIP code eligibility
STEM OPT applies only to degrees on the DHS STEM Designated Degree Program List. Check that your major's CIP code, listed on your I-20, falls under mathematics, statistics, computer science, or a related quantitative field before applying.
Confirm E-Verify enrollment before accepting offers
Your employer must be enrolled in E-Verify for your STEM OPT extension to be valid. Search the E-Verify employer search tool by company name to confirm active enrollment status before signing any offer letter.
Build your I-983 training plan around quant deliverables
Frame your I-983 training plan around specific learning objectives tied to quantitative analysis: model development, backtesting, risk metrics, or statistical inference. Generic descriptions get flagged by DSOs and can delay your extension approval.
Target financial firms with dedicated quantitative research teams
Asset managers, hedge funds, and investment banks that run structured quant programs are more likely to have E-Verify enrollment and experience with STEM OPT paperwork than smaller fintech startups or non-financial employers.
Use Migrate Mate to find E-Verify-enrolled employers hiring quant analysts
Search Migrate Mate to filter quantitative analyst openings by employers verified through E-Verify enrollment, so you aren't wasting applications on companies that can't legally support your STEM OPT extension.
Frequently Asked Questions
Does my degree qualify me for a STEM OPT extension as a Quantitative Analyst?
STEM OPT eligibility depends on your degree's CIP code appearing on the DHS STEM Designated Degree Program List, not the job title itself. Degrees in mathematics, statistics, computer science, financial mathematics, and operations research typically qualify. Check the CIP code printed on your I-20 against the DHS list to confirm before your DSO submits the STEM OPT extension request.
What E-Verify requirement applies to my STEM OPT employer?
Any employer who hires you on a STEM OPT extension must be actively enrolled in E-Verify at the specific work site where you'll be employed. This is a federal requirement enforced by ICE, not a company policy choice. Verify enrollment using the E-Verify employer search tool before you accept an offer. Remote work arrangements require the employer's primary worksite to be enrolled.
What goes into the I-983 training plan for a Quantitative Analyst role?
The I-983 must outline practical training goals directly tied to your quantitative analyst responsibilities, the STEM skills you'll develop, how the employer will supervise and evaluate your progress, and how the work relates to your degree. Generic entries like 'financial analysis' aren't sufficient. Specific learning objectives, such as developing pricing models or applying time-series methods to portfolio data, make the plan defensible if ICE reviews it.
How does cap-gap protection apply if I'm on STEM OPT and get selected in the H-1B lottery?
If your STEM OPT extension is active on April 1 and your H-1B petition is filed for October 1 start, cap-gap protection automatically extends your work authorization through September 30. Your EAD remains valid during this gap without additional filing. This protection applies only if your STEM OPT extension was properly approved and your I-765 for H-1B change of status was timely filed by your employer.
Where can I find Quantitative Analyst jobs at E-Verify-enrolled employers?
Migrate Mate lists quantitative analyst openings filtered by employers enrolled in E-Verify, which removes a major research step for STEM OPT students. You can browse roles in quantitative research, risk analytics, and algorithmic trading without manually cross-checking each company's E-Verify status before applying.