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Quant Engineer Jobs in Stanley, NC (NOW HIRING)

Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of ...

Audit Manager - Quant

Charlotte, NC · On-site

$101K - $133K/yr

... Quantitative Audit Manager (QAM) is responsible for the delivery of complex technical audit ... D in Mathematics, Statistics, Data Science, Engineering, Computer Science or other relevant degree ...

Quantitative Finance Analyst

Charlotte, NC · On-site

$89.80 - $153.30/hr

Quantitative Analytics Responsibilities * Performs end‑to‑end market risk stress testing ... Demonstrates knowledge of data & AI solutions, data platforms, context engineering, data management ...

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Showing results 1-20

Quant Engineer information

See Stanley, NC salary details

$36.6K

$87.1K

$144.8K

How much do quant engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quant engineer in Stanley, NC is $87,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What cities near Stanley, NC are hiring for Quant Engineer jobs?

Cities near Stanley, NC with the most Quant Engineer job openings:

Senior Lead Structured Products VaR Quant

Wells Fargo

Charlotte, NC

Full-time

Posted 10 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 709 frontline employees who took The Breakroom Quiz

88th of 171 rated banks


Job description

About this role

Wells Fargo is seeking a Senior Lead Securities Quantitative Analytics Specialist (Executive Director) to join the Mortgage Modeling Development Center within the Investment Portfolio. This role will lead the development, enhancement, implementation, and production readiness of regulatory Value at Risk (VaR) and related market risk models for Structured Products, including Agency and Non-Agency RMBS, Non-RMBS, and other securitized products. The successful candidate will combine deep quantitative finance expertise, structured products modeling knowledge, and strong software engineering discipline to deliver regulator-defensible, scalable, and high-performance analytics used by trading, market risk, investment portfolio, mortgage servicing, model validation, and technology stakeholders.

The Wells Fargo Investment Portfolio (IP) manages the Company's Available-For-Sale (AFS) and Held-To-Maturity (HTM) securities and loan portfolios, and the Reinsurance and Bank Owned Life Insurance (BOLI) businesses as part of the Finance group. IP also provides strategic and analytical balance sheet support to the bank, as well as a centralized, street-facing trade execution and hedging function and centralized mortgage modeling for the enterprise.

In this role, you will

  • Lead the design, development, implementation, back testing, benchmarking, and ongoing enhancement of regulatory VaR models and related risk analytics for structured products.
  • Develop and enhance pricing, OAS, prepayment, default, spread, volatility, scenario, and risk sensitivity analytics that support VaR, stress testing, P&L attribution, model monitoring, and risk measurement.
  • Analyze market data, pricing inputs, outliers, valuation uncertainty, risk factor coverage, proxy methodologies, model limitations, and back testing results to support defensible, structured products VaR models.
  • Translate regulatory, model risk, and business requirements into quantitative specifications, model documentation, validation evidence, production controls, and monitoring frameworks for internal review and regulatory scrutiny.
  • Partner with front office quants, Structured Products Trading Desks, Market Risk, Investment Portfolio, Mortgage Servicing, Model Risk Management, Finance, Technology, Audit, and senior leadership to deliver transparent, production-ready, and regulator-defensible modeling solutions.
  • Serve as a senior technical advisor and thought leader on complex securities quantitative analytics, guiding model design choices, implementation priorities, issue resolution, long-term architecture, and communication of model assumptions, limitations, and results to senior stakeholders and regulators.

Required Qualifications:

  • 7+ years of Securities Quantitative Analytics, Quantitative Analytics, market risk model development, structured products analytics, financial engineering, or equivalent experience demonstrated through work experience, training, military experience, or education
  • 7+ years of experience developing, implementing, or enhancing regulatory VaR models and related market risk analytics for fixed income, mortgages, securitized products, or derivatives, with demonstrated understanding of Basel 2.5, Basel III / Basel 3.0, FRTB, back testing, P&L attribution, and model governance expectations
  • 7+ years of experience programming capability in Python, C++, or comparable production-oriented quantitative programming languages

Desired Qualifications:

  • Master's degree or PhD in mathematics, statistics, engineering, physics, economics, finance, computer science, or a related quantitative discipline
  • 7+ years of experience developing, implementing, validating, or supporting regulatory market risk models, including VaR, expected shortfall, stress testing, P&L attribution, pricing, OAS, or related risk analytics
  • 5+ years of structured products analytics experience, preferably across RMBS, Agency and Non-Agency mortgages, CMBS, CLO, ABS, CRT, CMO, ARMs, or related securitized products
  • Demonstrated ability to work constructively across business, model development, model validation, risk management, and technology teams.
  • Deep understanding of Basel/FRTB market risk frameworks, regulatory VaR, backtesting, P&L attribution, empirical calibration, risk factor modeling, model monitoring, model governance, and validation expectations
  • Experience building production-quality mortgage, securitized products, and risk analytics frameworks, including pricing, prepayment/default, spread, OAS, clean/hypothetical P&L, outlier surveillance, calibration, and model performance monitoring
  • Strong senior-level communication, documentation, and leadership skills, with ability to explain complex models, assumptions, limitations, controls, and results to Trading, Risk, Technology, Model Validation, Audit, senior management, and regulators

Job Expectations:

  • Ability to travel up to 10% of the time
  • Must be able to work on-site
  • This position is eligible for Visa sponsorship

Posting Locations:

  • 150 E 42nd St. New York, NY 10017
  • 550 S Tyron Charlotte, NC
  • Additional Wells Fargo core/hub locations may be considered based on business needs

Posting End Date:

26 Sep 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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