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'llwork alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.
You'llbeexpectedto bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way,you'lldevelop 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'lltransition into one of the quant teams aligned with your skills, interests, program experience, and business needs. #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 metrics utilized to assess ongoing model performance
- Applying statistical and quantitative techniques to validate model design, calibration, and implementation.
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
- 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
- Currently pursuing a PhD degree with an expected graduation date in December 2026-June 2027 OR graduated from a PhD program after May 2024 and are currently completing a postdoc with emphasis in Mathematics, Physics, Engineering, Statistics or related quantitative field.
- Excellent programing skills and use of statistical software packages such as Python, C++, SQL, and Java.
- Experience and demonstrated knowledge 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 communication skills, with the ability to foster an inclusive environment and actively seek, 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.
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 this posting, we encourage you to apply for other opportunities with Wells Fargo. After submitting your application, please monitor your 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.
Skills Required
- 2+ years of Quantitative Analytics experience or equivalent (work experience, training, military experience, education)
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or related quantitative discipline
- (EMEA only) Experience in Quantitative Analytics or equivalent demonstrated through work, training, or education
- Currently pursuing a PhD (expected graduation Dec 2026-Jun 2027) or graduated after May 2024 and completing a postdoc in a quantitative field
- Excellent programming skills using Python, C++, SQL, and Java
- Knowledge of mathematical and numerical methods (Monte Carlo methods, differential equations, linear algebra, applied probability, statistics)
- Experience applying data analysis, modeling, visualization, statistics, research, and generative AI to derive insights
- Ability to design, develop, and deliver scalable solutions with strong data/software engineering and data management skills
- Strong communication skills and ability to collaborate inclusively and respond to feedback
- Business acumen and understanding of capital markets
- Ability to act with integrity, support risk assessments, and apply risk controls
Wells Fargo Compensation & Benefits Highlights
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Healthcare Strength — Health coverage begins on day one with comprehensive medical, dental, and vision options, and the company subsidizes a substantial share of premiums for U.S. employees (varying by compensation band).
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Retirement Support — A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for eligible primary caregivers, alongside fertility coverage, adoption/surrogacy reimbursement, and lactation support.
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