Quantitative Jobs
Quantitative jobs are open across finance, technology, and healthcare at every level from entry-level analyst to senior researcher and principal scientist, with specializations in quantitative research, quantitative analysis, and algorithmic modeling. Scan the live roles below and apply to whichever ones fit.
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About this role:
Wells Fargo is seeking two Senior Quantitative Analytics Specialists (Senior GenAI Data Scientists) to support driving natural language processing (NLP) and large language model (LLM) initiatives as part of the Consumer Model Development group.
This role is ideal for a seasoned professional passionate about building scalable Natural Language Processing (NLP) solutions and driving innovation in large language model (LLM) applications.
Learn more about the career areas and lines of business at wellsfargojobs.com.
In this role, you will:
- Apply advanced statistical theory to quantify, analyze, and manage data, financial risks, and market dynamics through robust modeling approaches
- Collaborate and partner with internal and external stakeholders to gather requirements and deliver impactful, data driven and AI enabled solutions
- Engage with Audit, Model, Product, and technical stakeholders to ensure transparency, governance, and compliance with regulatory expectations
- Establish and promote best practices across the model lifecycle, including development, evaluation, validation, deployment, and monitoring, while contributing to analytical strategies, modeling approaches, and forecasting methodologies through execution of complex model development and implementation
- Drive innovation through proof-of-concept initiatives, experimentation, and applied research, while staying current on emerging trends in Generative AI, large language models (LLMs), and Natural Language Processing (NLP), and translating insights into practical business applications
- Guide and mentor junior team members, fostering technical excellence, collaboration, and knowledge sharing
- Lead the design, architecture, and implementation of scalable artificial intelligence (AI), machine learning (ML), Natural Language Processing (NLP), and large language model (LLM) solutions using advanced techniques, modern frameworks, and cloud native tools to support complex language understanding use cases
Required Qualifications:
- 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
Desired Qualifications:
- Advanced analytical and strategic thinking skills with the ability to assess complex data, systems, architectures, and data flows to identify risks and opportunities and drive timely, data driven decision making
- Demonstrated ability to work independently, take initiative, and exercise sound judgment within a matrixed environment to drive business outcomes
- Advanced collaboration, influencing, and communication skills with the ability to build trusted relationships, align stakeholders, and communicate complex information effectively across all organizational levels, including executive leadership
- Demonstrated expertise in artificial intelligence (AI), including Generative AI, large language models (LLMs), Natural Language Processing (NLP), prompt engineering, multimodal models, and retrieval augmented generation, with experience leading initiatives from concept through production
- Experience with Agile practices, product management principles, and modernization initiatives, including automation and cloud transformation, within financial services or other regulated environments
- Familiarity with regulatory and compliance considerations related to artificial intelligence (AI) model development, validation, and deployment within regulated environments
- Knowledge of model evaluation metrics, performance optimization techniques, and responsible artificial intelligence (AI) practices, including bias mitigation
- Proficiency in Python with experience using machine learning (ML) frameworks (such as PySpark, PyTorch, TensorFlow), Natural Language Processing (NLP) libraries (such as Hugging Face, NLTK, spaCy), and cloud platforms including Google Cloud Platform (GCP), Vertex AI, or Azure
- Strong data science capabilities across data engineering, model development, deployment, and production support, including experience leveraging artificial intelligence (AI) and automation tools such as Generative AI and GitHub Copilot to improve efficiency and delivery outcomes
Job Expectations:
- Ability to travel up to 5%
- Adhere to standards outlined with written policy as well as applicable State and Federal regulations
- Willingness to work on-site at stated location on the job opening
Location(s): Preferred locations listed below; Relocation assistance is not available for this position.
- 333 Market Street, San Francisco, California 94105
- 11625 N. Community House Road, Charlotte, North Carolina 28277
- 401 S. Tryon Street, Charlotte, North Carolina 28202
Pay Range:
North Carolina – Charlotte: $139,000.00 - $217,000.00
California – San Francisco: $153,000.00 - $260,000.00
- Actual salary is determined by location, experience and qualifications of the job
- May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards
IMPORTANT INFORMATION:
- AFTER SUBMITTING YOUR APPLICATION, PLEASE MONITOR YOUR E-MAIL FOR FUTURE COMMUNICATIONS
- Once your application is received, Wells Fargo will make initial contact with you via e-mail
- Please ensure your contact information (e-mail address and phone number) is current in your Wells Fargo Jobs Profile
- If your contact information has changed, please update prior to applying to this position
- 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.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$139,000.00 - $260,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
6 Aug 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.
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.
About this role:
Wells Fargo is seeking two Senior Quantitative Analytics Specialists (Senior GenAI Data Scientists) to support driving natural language processing (NLP) and large language model (LLM) initiatives as part of the Consumer Model Development group.
This role is ideal for a seasoned professional passionate about building scalable Natural Language Processing (NLP) solutions and driving innovation in large language model (LLM) applications.
Learn more about the career areas and lines of business at wellsfargojobs.com.
In this role, you will:
- Apply advanced statistical theory to quantify, analyze, and manage data, financial risks, and market dynamics through robust modeling approaches
- Collaborate and partner with internal and external stakeholders to gather requirements and deliver impactful, data driven and AI enabled solutions
- Engage with Audit, Model, Product, and technical stakeholders to ensure transparency, governance, and compliance with regulatory expectations
- Establish and promote best practices across the model lifecycle, including development, evaluation, validation, deployment, and monitoring, while contributing to analytical strategies, modeling approaches, and forecasting methodologies through execution of complex model development and implementation
- Drive innovation through proof-of-concept initiatives, experimentation, and applied research, while staying current on emerging trends in Generative AI, large language models (LLMs), and Natural Language Processing (NLP), and translating insights into practical business applications
- Guide and mentor junior team members, fostering technical excellence, collaboration, and knowledge sharing
- Lead the design, architecture, and implementation of scalable artificial intelligence (AI), machine learning (ML), Natural Language Processing (NLP), and large language model (LLM) solutions using advanced techniques, modern frameworks, and cloud native tools to support complex language understanding use cases
Required Qualifications:
- 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
Desired Qualifications:
- Advanced analytical and strategic thinking skills with the ability to assess complex data, systems, architectures, and data flows to identify risks and opportunities and drive timely, data driven decision making
- Demonstrated ability to work independently, take initiative, and exercise sound judgment within a matrixed environment to drive business outcomes
- Advanced collaboration, influencing, and communication skills with the ability to build trusted relationships, align stakeholders, and communicate complex information effectively across all organizational levels, including executive leadership
- Demonstrated expertise in artificial intelligence (AI), including Generative AI, large language models (LLMs), Natural Language Processing (NLP), prompt engineering, multimodal models, and retrieval augmented generation, with experience leading initiatives from concept through production
- Experience with Agile practices, product management principles, and modernization initiatives, including automation and cloud transformation, within financial services or other regulated environments
- Familiarity with regulatory and compliance considerations related to artificial intelligence (AI) model development, validation, and deployment within regulated environments
- Knowledge of model evaluation metrics, performance optimization techniques, and responsible artificial intelligence (AI) practices, including bias mitigation
- Proficiency in Python with experience using machine learning (ML) frameworks (such as PySpark, PyTorch, TensorFlow), Natural Language Processing (NLP) libraries (such as Hugging Face, NLTK, spaCy), and cloud platforms including Google Cloud Platform (GCP), Vertex AI, or Azure
- Strong data science capabilities across data engineering, model development, deployment, and production support, including experience leveraging artificial intelligence (AI) and automation tools such as Generative AI and GitHub Copilot to improve efficiency and delivery outcomes
Job Expectations:
- Ability to travel up to 5%
- Adhere to standards outlined with written policy as well as applicable State and Federal regulations
- Willingness to work on-site at stated location on the job opening
Location(s): Preferred locations listed below; Relocation assistance is not available for this position.
- 333 Market Street, San Francisco, California 94105
- 11625 N. Community House Road, Charlotte, North Carolina 28277
- 401 S. Tryon Street, Charlotte, North Carolina 28202
Pay Range:
North Carolina – Charlotte: $139,000.00 - $217,000.00
California – San Francisco: $153,000.00 - $260,000.00
- Actual salary is determined by location, experience and qualifications of the job
- May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards
IMPORTANT INFORMATION:
- AFTER SUBMITTING YOUR APPLICATION, PLEASE MONITOR YOUR E-MAIL FOR FUTURE COMMUNICATIONS
- Once your application is received, Wells Fargo will make initial contact with you via e-mail
- Please ensure your contact information (e-mail address and phone number) is current in your Wells Fargo Jobs Profile
- If your contact information has changed, please update prior to applying to this position
- 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.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$139,000.00 - $260,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
6 Aug 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.
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.
Quantitative Jobs by Experience Level
Top Cities Hiring Quantitatives
Explore quantitative openings in the cities hiring most right now.
See All 487+ Quantitative Jobs
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Find Quantitative JobsQuantitative Job Market
Who's Hiring
- JPMorganChase48
- Citi16
- PNC Financial Services13
- Millennium Management11M
- Wells Fargo9
Top Industries Hiring
- Investment & Asset Management87
- Banking & Financial Services54
- Technology & Software23
- Fintech12
- Construction & Real Estate5
What Employers Look For
The qualifications that appear most often in quantitative jobs.
- Advanced degree in mathematics, statistics, physics, or a related quantitative field
- Proficiency in Python or R for data analysis and model development
- Experience building and validating statistical or machine learning models
- Strong knowledge of probability theory, stochastic processes, or time series analysis
- Familiarity with SQL and large-scale data manipulation
- Experience with backtesting frameworks or quantitative risk measurement tools
Tips for Your Quantitative Job Search
Tailor your resume to model types
Hiring managers in quantitative roles scan for the specific modeling approaches you've used. Call out whether your experience is in statistical arbitrage, factor modeling, stochastic calculus, or machine learning-driven strategies rather than listing generic math skills.
Apply early to roles that fit
Migrate Mate lists quantitative openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight your programming language stack clearly
Quantitative job listings almost always specify Python, R, C++, or MATLAB. Place your strongest language prominently on your resume and match it to the language listed in each job description before you apply.
Prepare worked examples of research output
Interviewers at quantitative firms expect you to walk through a project end-to-end, from hypothesis to validation. Prepare two or three concrete examples where you can explain your methodology, the data you used, and how you measured results.
Filter openings by team type, not just title
Quantitative roles differ sharply between trading desks, risk teams, and research groups. Read the job description for the reporting structure and primary deliverables so you're applying to the environment that matches your background.
Follow up after take-home assignments
Many quantitative hiring processes include a take-home problem set. If you don't hear back within a week of submitting, send a brief, direct follow-up email referencing your submission and confirming your continued interest.
Quantitative Jobs: Frequently Asked Questions
Which companies are hiring the most quantitatives?
The companies hiring the most quantitatives right now include JPMorganChase, Citi, and PNC Financial Services, with the largest share of openings in New York, Massachusetts, and California, based on current listings on Migrate Mate as of August 2026. Demand is consistently strong at hedge funds, investment banks, and technology companies with large data science divisions.
How many quantitative jobs are remote?
About 46% of quantitative openings are fully remote or hybrid as of August 2026, though the share varies significantly by employer type. Quantitative research and data-focused roles tend to offer more remote flexibility than trading or desk-based positions, which typically require on-site presence.
How do you become a quantitative?
Most quantitative professionals start with a strong foundation in mathematics, statistics, or physics, typically through a bachelor's degree and often a master's or PhD. From there, building hands-on experience with programming languages like Python or R, developing independent research projects, and applying to analyst or junior researcher roles are the most direct steps into the field.
How do you get hired as a quantitative with little experience?
Entry-level quantitative hiring typically focuses on demonstrated analytical ability rather than years on the job. Completing personal projects that show model-building or data analysis skills, contributing to open-source quantitative libraries, and targeting firms with formal graduate training programs are the most effective approaches when your professional experience is limited.
What does the quantitative interview process look like?
Quantitative interviews typically include a screening call focused on your background, followed by one or more technical rounds covering probability, statistics, and coding problems. Many firms also assign a take-home problem set or case study. Final rounds often involve a presentation of your research or past work to senior members of the team.
Where can I find and apply to quantitative jobs?
You can find and apply to quantitative jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits your skills and experience level.
See All 487+ Quantitative Jobs
Find roles that match your experience and apply in just a few clicks.
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