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The Role
Develop quantitative analytics, machine learning models, and Agentic AI workflows to identify market insights and manage risk. Responsibilities include designing end-to-end ML solutions, analyzing large datasets, building dashboards and applications, developing enterprise software, and delivering projects within Agile environments. The role requires advanced Python and Java development, statistical modeling, data transformation, visualization, CI/CD, cloud-native technologies, and collaboration with traders and stakeholders.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Senior Quantitative Analytics Specialist.
In this role, you will:
27 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.
Wells Fargo is seeking a Senior Quantitative Analytics Specialist.
In this role, you will:
- Use advanced statistical theories and techniques to quantify, analyze, and manage market-related opportunities and risks.
- Develop actionable insights for traders by researching and applying a variety of data strategies.
- Develop end-to-end machine learning workflows and models, demonstrating expertise in designing, building, maintaining, and scaling machine learning solutions.
- Develop machine learning models and demonstrate expertise in building models or leveraging established industry-standard models.
- Design and implement Agentic AI workflows to drive automation and enhance analytical frameworks.
- Take ownership of the full project lifecycle, including requirements gathering, solution design, development, and stakeholder delivery.
- Participate in discussions related to analytical strategies, modeling approaches, and forecasting methodologies.
- Consistently deliver high-quality software solutions within an Agile development environment.
- Develop an understanding of data technologies, modern data pipelines, interactive interface development, and the deployment of ML-based applications.
- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Strong understanding of statistical concepts such as z-scores, correlation matrices, and related analytical techniques.
- Ability to prototype, design, and develop solutions to solve business challenges.
- Excellent knowledge of and hands-on experience with Python programming.
- Ability to perform complex analytical activities and contribute to the design of data-driven solutions.
- Ability to take initiative, identify inefficiencies and improvement opportunities, and implement effective solutions using Python and Java.
- Ability to lead process improvement initiatives that optimize operational effectiveness and efficiency.
- Provide analytical support for evaluating, implementing, monitoring, and executing data strategy initiatives and solutions.
- Work effectively across teams and organizational levels, demonstrating flexibility, collaboration, adaptability, respect, and strong partnership skills.
- Apply quantitative and technology-driven techniques to solve complex business problems.
- Master's degree or higher in a quantitative discipline such as Computer Science, Finance, or a related field.
- Experience in a similar role, with primary expertise in Python and working knowledge of Java.
- Strong analytical skills with the ability to draw meaningful conclusions and translate findings into actionable insights.
- Demonstrated proficiency in Python and Java, with experience analyzing, interpreting, and manipulating large datasets using Python libraries such as NumPy, Pandas, SciPy, and Scikit-learn, as well as Java concepts including Lambda Expressions, Functional Interfaces, and Immutability.
- Participate in complex software design and development activities within an Agile environment.
- Ability to drive projects from inception through successful delivery.
- Experience developing enterprise-scale software platforms and applications.
- Consistently meet deliverables while adhering to organizational policies, procedures, and compliance requirements.
- Demonstrate strong hands-on coding experience and proficiency with GitHub-based development workflows.
- Experience in quantitative analytics or financial services, or a strong willingness to learn these domains.
- Ability to develop and debug complex Python applications using advanced object-oriented programming concepts, including classes, generators, decorators, exception handling, logging, and modular design.
- Experience performing complex data transformation and wrangling using Pandas and NumPy, including grouping, aggregation, pivoting, and handling missing or invalid values.
- Experience with visualization libraries such as Matplotlib, Plotly, and Seaborn, with the ability to analyze and interpret data using line charts, scatter plots, heatmaps, and other visualizations.
- Ability to apply advanced analytical methodologies and quantitative techniques to solve business problems.
- Experience working with datasets across multiple data sources, including remote file servers, relational databases, and distributed systems such as NoSQL databases, with the ability to analyze and compare data across diverse platforms.
- Experience with enterprise-grade CI/CD tools and platforms, including Jenkins, Docker, and Kubernetes.
- Experience building dashboards and analytical applications using React.js, Django, Flask, Streamlit, or Dash.
- Ability to debug and support enterprise-level Java Spring Boot (or similar) applications and microservices.
27 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
- 4+ years of quantitative analytics experience or equivalent experience, training, military experience, or education
- Bachelor’s degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
- Master’s degree or higher in computer science, finance, or a related quantitative discipline
- Experience in a similar role with primary expertise in Python and working knowledge of Java
- Proficiency in Python and Java, including analysis and manipulation of large datasets
- Experience with NumPy, Pandas, SciPy, and Scikit-learn
- Experience with Java Lambda Expressions, Functional Interfaces, and Immutability
- Hands-on coding experience and GitHub-based development workflows
- Experience developing and debugging complex Python applications using object-oriented programming, classes, generators, decorators, exception handling, logging, and modular design
- Experience with complex data transformation and wrangling using Pandas and NumPy
- Experience with Matplotlib, Plotly, and Seaborn visualization libraries
- Experience working with remote file servers, relational databases, and distributed NoSQL databases
- Experience with enterprise CI/CD platforms, Jenkins, Docker, and Kubernetes
- Experience building dashboards and analytical applications using React.js, Django, Flask, Streamlit, or Dash
- Ability to debug and support enterprise Java Spring Boot or similar applications and microservices
- Strong understanding of statistical concepts, including z-scores and correlation matrices
- Ability to prototype, design, and develop solutions for business challenges
- Ability to lead process improvement initiatives and optimize operational effectiveness
- Experience in quantitative analytics or financial services, or willingness to learn these domains
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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The Company
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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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
