Entry Level Quantitative Jobs
New grad quantitative jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site roles across Investment & Asset Management, Banking & Financial Services, and Technology & Software, with employers like JPMorganChase, Akuna Capital, and Point72 hiring at this level now.
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Showing 5 of 54+ Entry Level Quantitative jobs
Job Description:
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!
Job Description:
Description & Responsibilities:
The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:
- Develop and maintain volume forecasting, capacity planning, and resource optimization models
- Routinely partner with Front Line Units (FLUs) to ensure model accuracy
- Conduct routine model production and performance presentations with executive leadership
- Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
- Assist in driving volume and capacity modeling consistency and innovation across the team
- Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
- Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines
Required Skills:
- Bachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
- 2+ years of experience in quantitative roles modeling complex processes
- Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and/or optimization techniques, through education or professional experience
- Proficient in MS Office, particularly Excel
- Experience with Copilot
- Experience with SAS, Python, R, or similar statistical software
- Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
- Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
- Natural curiosity and drive to answer important business questions
- High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment
Desired Skills:
- Master’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
- Prior operational volume forecasting, capacity planning, or financial planning experience
- Experience with Arena or similar discrete event simulation software
- Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
- Experience with Tableau or other data visualization software
- Data mining experience using SQL/SAS querying
- Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body
Skills:
- Analytical Thinking
- Business Intelligence
- Data Modeling
- Data Visualization
- Data and Trend Analysis
- Attention to Detail
- Collaboration
- Data Management
- Data Mining
- Presentation Skills
- Consulting
- Problem Solving
- Risk Management
- Stakeholder Management
- Technical Documentation
Shift:
1st shift (United States of America)Hours Per Week:
40Job Description:
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!
Job Description:
Description & Responsibilities:
The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:
- Develop and maintain volume forecasting, capacity planning, and resource optimization models
- Routinely partner with Front Line Units (FLUs) to ensure model accuracy
- Conduct routine model production and performance presentations with executive leadership
- Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
- Assist in driving volume and capacity modeling consistency and innovation across the team
- Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
- Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines
Required Skills:
- Bachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
- 2+ years of experience in quantitative roles modeling complex processes
- Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and/or optimization techniques, through education or professional experience
- Proficient in MS Office, particularly Excel
- Experience with Copilot
- Experience with SAS, Python, R, or similar statistical software
- Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
- Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
- Natural curiosity and drive to answer important business questions
- High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment
Desired Skills:
- Master’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
- Prior operational volume forecasting, capacity planning, or financial planning experience
- Experience with Arena or similar discrete event simulation software
- Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
- Experience with Tableau or other data visualization software
- Data mining experience using SQL/SAS querying
- Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body
Skills:
- Analytical Thinking
- Business Intelligence
- Data Modeling
- Data Visualization
- Data and Trend Analysis
- Attention to Detail
- Collaboration
- Data Management
- Data Mining
- Presentation Skills
- Consulting
- Problem Solving
- Risk Management
- Stakeholder Management
- Technical Documentation
Shift:
1st shift (United States of America)Hours Per Week:
40See All 54 Entry Level Quantitative Jobs
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Find Entry Level Quantitative JobsEntry Level Quantitative Job Market
Who's Hiring
Top Industries Hiring
- Investment & Asset Management29
- Banking & Financial Services12
- Technology & Software11
- Fintech4
- Staffing & Recruiting2
Entry Level Quantitative Jobs: Frequently Asked Questions
How do I get an entry level quantitative job?
Employers hiring at the entry level look for demonstrated analytical ability over years of experience. A portfolio of personal projects, coursework in statistics or programming, and at least one internship or research position signal readiness. Proficiency in Python, R, or SQL is often the deciding factor, and candidates who can walk through a modeling problem clearly in an interview consistently stand out from the applicant pool.
Which companies hire entry level quantitatives?
Companies hiring entry level quantitatives right now include JPMorganChase, Akuna Capital, and Point72, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a broad mix of employers, including financial services firms, technology companies, and consulting groups that run structured analyst or associate programs designed to develop junior talent from the ground up.
Are there remote entry level quantitative jobs?
Yes, though on-site roles still make up the majority at this experience level. About 13% of entry level quantitative openings are remote or hybrid as of September 2026, so candidates who need flexibility do have real options. Hybrid arrangements are more common than fully remote at the junior level, as many employers prefer some in-person time for onboarding and mentorship.
Are these new grad quantitative jobs?
Yes, the listings here include new grad, recent graduate, and junior quantitative roles. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or research toward that threshold, or accepts a strong portfolio in place of full-time history. If a role lists a degree requirement but no minimum years, it is almost always open to new grad applicants.
Which industries hire the most entry level quantitatives?
Entry Level quantitative roles concentrate in Investment & Asset Management, Banking & Financial Services, and Technology & Software, based on current listings on Migrate Mate as of September 2026. Those sectors drive junior hiring because they generate large volumes of structured data that require analytical talent at every level, and they tend to run formal new grad or analyst programs that are explicitly designed for candidates entering the field for the first time.