Job Description
About this role:Wells Fargo is seeking talent to join the2027 Quantitative Analytics Program Capital Markets (PhD). Learn more about the career areas and lines of business atwellsfargojobs.com.
Program Overview |The Wells Fargo Quantitative Analytics Program offers PhD candidates an opportunity to apply advanced analytics, artificial intelligence, and machine learning to complex business challenges at one of the world's leading financial institutions.
This 12-month development program combines hands-on project experience, mentorship, technical training, and exposure to senior leaders. Through two six-month rotations, you'll work alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.
You'll be expected to bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way, you'll develop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment.
Upon completion of the program, you'll transition into one of the quant teamsaligned with your skills, interests,programexperience,and businessneeds.#earlycareers
You could work on high-impact projects like:
Developing pricing and risk models that are used by various Wells Fargo trading desks
Enhancing production models to mitigate any deterioration in model performance
Developing simulation models to forecast losses for trading portfolios
Developing benchmark models to assess potential limitations of production models
Providing analysis and reporting of metricsutilizedto assess ongoing modelperformance
Applying statistical and quantitative techniques tovalidatemodel design, calibration, and implementation.
Program dates:July 2027 - July 2028
Program Duration: 12 months
Program Location:Charlotte, NC
Required Qualifications:
- 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Required Qualifications for Europe, Middle East & Africa only:
- Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Desired Qualifications:
Currently pursuing aPhDdegree with an expected graduation date in December 2026-June 2027OR graduated from a PhD program after May 2024 and are currently completing a postdoc with emphasis in Mathematics, Physics, Engineering,Statisticsor related quantitative field.
Excellent programing skills and use of statistical software packages such as Python, C++,SQL,and Java.
Experience anddemonstratedknowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions.
Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset.
Strong communicationskills, with the ability to foster an inclusive environment and activelyseek, apply, and respond to feedback in collaborative analytical settings.
Strong business acumen and understanding of capital markets, with a commitment to providing excellent service and supporting data-informed business outcomes.
Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment.
Join us at Wells Fargo and become a part of a dynamic team that is shaping the future of the financial industry. Apply now and embark on a journey towards personal and professional growth in quantitative analytics.
Based on the volume of applications received, this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of thisposting, we encourage you to apply for other opportunities with Wells Fargo. Aftersubmittingyour application, pleasemonitoryour e-mail for future communications.
Posting End Date:
20 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, visit Disability 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.
Numbers & Facts
| Location | Charlotte, North Carolina |
| Industry | Financial Services |
| Company Size | 10,000 employees or more |
| Year Founded | 1852 |
About Company
We believe in our vision and values just as strongly today as we did the first time we put them on paper more than 20 years ago. Staying true to them will guide us toward continued growth and success for decades to come. As you read more about our vision and values, you will learn about who we are, where we’re headed and how every Wells Fargo team member can help us get there.
Skills
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Benchmarkingunmatched
- Business Skillsunmatched
- Business Strategyunmatched
- Business Supportunmatched
- Calibrationunmatched
- Capital Marketsunmatched
- Computer Scienceunmatched
- Credit Riskunmatched
- Customer Experienceunmatched
- Customer Relationsunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Differential Equationsunmatched
- Economicsunmatched
- Engineeringunmatched
- Financeunmatched
- Financial Operationsunmatched
- Forecastingunmatched
- Leadershipunmatched
- Linear Algebraunmatched
- Machine Learningunmatched
- Maintain Complianceunmatched
- Mathematicsunmatched
- Mentoringunmatched
- Monte Carlo Methodunmatched
- Performance Modelingunmatched
- Physicsunmatched
- Product Pricingunmatched
- Quantitative Analysisunmatched
- Regulatory Complianceunmatched
- Riskunmatched
- Risk Analysisunmatched
- Risk Managementunmatched
- Risk Modelingunmatched
- Scalable System Developmentunmatched
- Simulationunmatched
- Software Engineeringunmatched
- Statisticsunmatched
- Team Playerunmatched
- Time Managementunmatched
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