Quantitative Jobs in North Carolina
Quantitative jobs in North Carolina are concentrated in Charlotte, Raleigh, and Durham, where financial services firms, research universities, and life sciences companies sustain consistent demand for analysts, researchers, and risk modelers. Wells Fargo, Bank of America, and SAS Institute are among the established employers with long-term quantitative hiring across the state. The most in-demand specialties include financial risk modeling, statistical research, and algorithmic trading support. Find a role that fits below and apply directly.
Find Quantitative JobsOverview
Showing 5 of 24+ 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:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
This role offers the opportunity to shape enterprise wide economic views at one of the world’s leading financial institutions, influence senior decision makers, and lead high impact work at the intersection of economics, risk management, and strategy. This is a critical leadership role within Global Risk Analytics, responsible for shaping the bank’s macroeconomic outlook, scenario design, and economic risk assessments used for regulatory submissions, capital planning, allowance methodologies, and strategic decision making. This role partners closely with senior executives, risk committees, and business leaders to translate complex economic dynamics into actionable insights for a large, diversified financial institution. Specific role responsibilities would include:
Macroeconomic Scenario Development
Lead the design, review, and approval of enterprise wide macroeconomic projections and stress scenarios (1,800+ variables) supporting regulatory and internal use cases, including CCAR, CECL, IFRS 9 and internal forecasting.
Ensure macroeconomic assumptions and scenario narratives are methodologically sound, well documented, and compliant with regulatory expectations and internal model risk standards.
Risk Analytics & Strategic Insight
Assess emerging macroeconomic, geopolitical, and financial market risks and identify implications for capital adequacy, credit risk, liquidity, and earnings.
Develop forward looking economic analyses that inform enterprise risk identification, corporate planning, and stress testing outcomes across lines of business.
Thought Leadership & Executive Communication
Provide thought leadership on evolving economic conditions and risks to the baseline outlook through executive level presentations, written briefings, and recurring senior leadership forums.
Translate complex economic and financial concepts into clear, decision useful insights for senior management, risk committees, and frontline business partners.
Serve as a trusted advisor to executive leadership on macroeconomic trends and scenario driven impacts to the bank and the global economy.
Team Leadership & Collaboration
Collaborate with a high performing team of economists and analysts, fostering strong analytical rigor, clear communication, and effective challenge.
Coordinate economic research and scenario development efforts across regions, portfolios, and risk disciplines.
Mentor junior staff and contribute to the bank’s broader economic research and talent development initiatives.
Innovation & Continuous Improvement
Advance the use of quantitative methods, data automation, and emerging technologies (including AI/ML where appropriate) to enhance scenario design, monitoring, and risk insights.
Continuously evaluate and improve economic modeling frameworks to reflect structural changes in the economy and financial markets.
Minimum Education Requirement: Master’s degree PhD in Economics, Finance, or a related quantitative field.
8+ years of experience in macroeconomic analysis, scenario design, or stress testing within a large financial institution, regulatory body, or economic research organization.
Expertise in regulatory stress testing and allowance frameworks (CCAR, CECL, IFRS 9).
Strong understanding of global macroeconomics, financial markets, and bank balance sheet dynamics.
Proven ability to communicate complex economic concepts effectively to senior executives and non technical audiences.
Experience interfacing with regulators and responding to supervisory feedback.
Familiarity with model risk management frameworks and governance requirements.
Experience leveraging advanced analytics, automation, or AI enabled tools in economic or risk analysis.
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Shift:
1st shift (United States of America)Hours Per Week:
40See All 24 Quantitative Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Quantitative JobsQuantitative Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Quantitative Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
- Wells Fargo13

- Truist3

- Bank of America3

- U.S. Bank2

- USAA1

Top Industries Hiring
- Banking & Financial Services
What North Carolina Employers Look For
The qualifications that appear most often in quantitative jobs across North Carolina.
- Bachelor's or master's degree in mathematics, statistics, finance, or a related quantitative field
- Proficiency in Python, R, or MATLAB for data analysis and model development
- Experience building and validating statistical or machine learning models
- Strong knowledge of probability theory, stochastic calculus, or financial derivatives
- Familiarity with SQL and large-scale data environments for quantitative research
- Ability to communicate complex quantitative findings clearly to non-technical stakeholders
Quantitative Jobs in North Carolina: Frequently Asked Questions
How do you become a quantitative in North Carolina?
Most quantitative roles in North Carolina require at least a bachelor's degree in mathematics, statistics, economics, or a closely related field, with many employers in Charlotte's financial sector and the Research Triangle preferring a master's or PhD. There is no state-issued license specific to quantitative analysts, but roles in financial services may require FINRA registrations such as the Series 3 or Series 57 depending on the employer and function.
Which companies hire quantitatives in North Carolina?
Employers hiring quantitatives in North Carolina right now include Wells Fargo, Truist, and Bank of America, based on current listings on Migrate Mate as of September 2026. Charlotte's concentration of major banks and asset managers alongside the Research Triangle's technology and life sciences firms makes North Carolina one of the more active states for quantitative hiring outside of New York and the Bay Area.
Which North Carolina cities have the most quantitative jobs?
Charlotte and Raleigh account for the largest share of quantitative openings in North Carolina. Charlotte leads because of its dense financial services sector anchored by large banks and investment firms, while Raleigh and Durham benefit from the Research Triangle's concentration of technology companies, pharmaceutical firms, and research universities that rely on quantitative and data science talent.
Are there remote quantitative jobs in North Carolina?
Yes, and more than most fields, since quantitative work is largely desk-based and model-driven rather than on-site. About 25% of quantitative openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how well this type of analytical work transfers to distributed teams. Roles focused on independent research, model development, or data analysis tend to offer the most remote flexibility.
How can I get hired as a quantitative in North Carolina with little or no experience?
The most realistic entry path is through a graduate program or internship at one of the Research Triangle's universities or technology firms, which regularly bring on early-career analysts for structured rotations. Entry-level roles at North Carolina banks often have titles like junior analyst, risk analyst associate, or data analyst, and candidates with strong Python or R portfolios and completed coursework in stochastic modeling gain a clear edge even without prior industry experience.
Where can I find and apply to quantitative jobs in North Carolina?
You can find and apply to quantitative jobs in North Carolina on Migrate Mate, which lists current openings from employers actively hiring across the state. Find roles that fit your background and apply directly without needing to create a profile or sign up first.
See All 24 Quantitative Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Quantitative Jobs