2027 Quantitative Analytics Summer Internship Applied Computational Intelligence (ACI Masters) - Early Careers

Posted 3 Days Ago
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Charlotte, NC, USA
Hybrid
Internship
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Ten-week Wells Fargo internship for master’s students applying quantitative analytics, machine learning, and generative AI to financial-services challenges. Interns may develop AI advisors, LLM assistants, agentic and multi-agent systems, RAG platforms, model-training pipelines, and scalable machine-learning solutions. Responsibilities include model evaluation, optimization, deployment, statistical validation, and risk-aware data analysis. The program includes mentorship, technical training, networking, and strategic project work in Charlotte, North Carolina.
Summary Generated by Built In
About this role: Wells Fargo is seeking talent to join the 2027 Quantitative Analytics Summer Internship Program ACI (Masters). Learn more about the career areas and lines of business at wellsfargojobs.com
Program Overview | The Wells Fargo Quantitative Analytics Internship Program offers Masters 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 10-week summer internship combines hands-on project experience, mentorship, technical training, and exposure to senior leaders. Through this 10-week internship 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.
Whether you're advancing cutting-edge AI research, developing innovative analytical solutions, or collaborating with teams across the organization, you'll have opportunities to make an impact while continuing to grow professionally. This internship offers valuable experience, mentorship, and networking opportunities that can help prepare you for the next step in your career. High performing interns may receive consideration for full-time roles after graduation. #earlycareers
You could work on high-impact projects like:
  • Develop AI-powered advisors and decision support systems that synthesize customer, relationship, market, and enterprise data to generate insights, recommendations, and actions.
  • Build Generative AI assistants and intelligent agents that leverage enterprise knowledge, reasoning, and workflow orchestration to support employees and customers.
  • Design and deploy agentic AI and multi-agent systems that automate customer service, operational, and business processes through planning, task execution, and human-in-the-loop collaboration.
  • Create enterprise knowledge intelligence platforms using Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multimodal AI, and structured and unstructured data to power search, reasoning, decision support, and workflow automation.
  • Advance the state of enterprise AI through model training, evaluation, optimization, and deployment of LLMs, speech technologies, and emerging foundation models.
  • Deploy scalable Generative AI and machine learning solutions that improve productivity, customer experience, risk management, decision-making, and operational efficiency across the enterprise.
  • Applying statistical and quantitative techniques to validate model design, calibration, and implementation.
What You'll Experience:
  • Spend your Intern Induction Week at an offsite location
  • Structured and engaging onboarding experience
  • Speaker series with Wells Fargo senior leaders
  • Professional development opportunities
  • Networking and engaging with peers
  • On-the-job experiences contributing to strategic business goals
Program dates:June - August2027
Program Duration:10 weeks
Program Location:Charlotte, NC
Required Qualifications:
  • 6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Required Qualifications for Europe, Middle East & Africa only:
  • Work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education
Desired Qualifications:
Currently pursuing a Masters degree in Computer Science, Statistics, Data Science, Econometrics, Mathematics, Engineering or related quantitative field, with an expected graduation date after December 2027.
Technical Skills
  • Strong programming experience with tools such as Python, Go, C++, Rust, Java, Spark, or similar technologies
  • Hands-on experience developing machine learning and AI solutions in research, academic, or industry environments
Knowledge and Experience In:
Large Language Models & Model Training
  • Experience with supervised fine-tuning (SFT) and post-training methodologies including RLHF, RLAIF, PPO, DPO, and GRPO
  • Training and deploying models in cloud environments, including GCP
Agentic AI
  • Multi-agent architectures and orchestration frameworks like LangChain, LangGraph, Google's ADK, CrewAI
  • Retrieval-Augmented Generation (RAG) applications and intelligent agent deployment
AI Infrastructure & Optimization
  • Distributed GPU training
  • Efficient model tuning approaches such as LoRA and PEFT
Additional Qualifications
  • 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 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.
Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship from Wells Fargo now or in the futurein order toretaintheir authorization to work in the United States.
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:
    17 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

    • At least 6 months of work experience, or equivalent experience through work, training, military experience, or education
    • Currently pursuing a master's degree in Computer Science, Statistics, Data Science, Econometrics, Mathematics, Engineering, or a related quantitative field
    • Expected graduation date after December 2027
    • Strong programming experience with Python, Go, C++, Rust, Java, Spark, or similar technologies
    • Hands-on experience developing machine learning and AI solutions in research, academic, or industry environments
    • Experience with supervised fine-tuning and post-training methods including RLHF, RLAIF, PPO, DPO, or GRPO
    • Experience training and deploying models in cloud environments, including Google Cloud Platform
    • Experience with multi-agent architectures and orchestration frameworks such as LangChain, LangGraph, Google ADK, or CrewAI
    • Experience developing Retrieval-Augmented Generation applications and deploying intelligent agents
    • Experience with distributed GPU training and efficient model tuning approaches such as LoRA and PEFT
    • Strong quantitative, analytical, communication, and business skills
    • Ability to work in the United States without current or future Wells Fargo visa sponsorship

    Wells Fargo Compensation & Benefits Highlights

    • 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).
    • Retirement Support A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
    • 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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    The Company
    HQ: San Francisco, CA
    205,000 Employees
    Year Founded: 1852

    What We Do

    Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. 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. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.

    Why Work With Us

    We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”

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