Quantitative Technologist Jobs
Quantitative Technologist jobs are open across hedge funds, investment banks, and proprietary trading firms, with specializations in algorithmic strategy development, risk analytics, and quantitative model implementation, from junior to senior and lead levels. Find a role that fits below and apply directly.
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Showing 5 of 592+ Quantitative Technologist jobs
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
We’re looking for a sharp quantitative analyst who’s adept at advanced AI/ML algorithms to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank’s Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Quant you will develop benchmark AI/ML models, perform activities related to AI/ML model development and model review, including model development, algorithm selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
Basic Qualifications
- Bachelor’s degree in a quantitative field required with at least 5 years of relevant experience
OR
- MA/MS in a quantitative field, and 3 or more years of related experience
- PhD in a quantitative field, and less than 2 years of related experience
Preferred Skills/Experience
- Strong statistical modeling or computer science background and hands on model development skills
- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.
- Experience with building complex deep learning architectures such as MLPs, RNNs, CNNs and Generative AI frameworks such as RAG and Agentic AI.
- Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.
- Hands on experience with deep learning or LLM software frameworks such as PyTorch, Tensorflow/Keras, MXNet, LangChain and Llamaindex are strongly preferred
- Research experience and publications on AI or Gen AI are preferred
- Experience in financial industry is preferred but not required
- Advanced understanding of Model Risk Management and OCC SR 11-7 is a plus
- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills
LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
We’re looking for a sharp quantitative analyst who’s adept at advanced AI/ML algorithms to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank’s Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Quant you will develop benchmark AI/ML models, perform activities related to AI/ML model development and model review, including model development, algorithm selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
Basic Qualifications
- Bachelor’s degree in a quantitative field required with at least 5 years of relevant experience
OR
- MA/MS in a quantitative field, and 3 or more years of related experience
- PhD in a quantitative field, and less than 2 years of related experience
Preferred Skills/Experience
- Strong statistical modeling or computer science background and hands on model development skills
- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.
- Experience with building complex deep learning architectures such as MLPs, RNNs, CNNs and Generative AI frameworks such as RAG and Agentic AI.
- Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.
- Hands on experience with deep learning or LLM software frameworks such as PyTorch, Tensorflow/Keras, MXNet, LangChain and Llamaindex are strongly preferred
- Research experience and publications on AI or Gen AI are preferred
- Experience in financial industry is preferred but not required
- Advanced understanding of Model Risk Management and OCC SR 11-7 is a plus
- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills
LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
Quantitative Technologist Jobs by Experience Level
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Find JobsQuantitative Technologist Job Market
Who's Hiring
- JPMorganChase54
- Two Sigma16
- Millennium Management13
- BlackRock12
- Fidelity Investments12
Top Industries Hiring
- Investment & Asset Management69
- Banking & Financial Services29
- Technology & Software26
- Education10
- Fintech7
What Employers Look For
The qualifications that appear most often in quantitative technologist jobs.
- Proficiency in C++ or Python for high-performance quantitative system development
- Experience building or maintaining backtesting and live trading infrastructure
- Strong understanding of market microstructure, order types, and execution venues
- Advanced degree in computer science, mathematics, physics, or financial engineering
- Familiarity with real-time data pipelines and low-latency messaging frameworks
- Ability to collaborate directly with quantitative researchers to implement and productionize models
Tips for Your Quantitative Technologist Job Search
Tailor your resume to each desk
Quantitative technologist roles vary sharply between a systematic macro desk and a high-frequency equity desk. Rewrite your resume summary and project bullets for each posting, mirroring the exact stack and asset class language used in the job description.
Show latency numbers in project work
Hiring managers for quantitative technologist roles want to see concrete performance figures. Replace vague descriptions of backtesting pipelines or execution infrastructure with specific throughput, latency, or accuracy improvements you measured and can defend in an interview.
Apply early to roles that fit
Migrate Mate lists quantitative technologist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by programming language depth
Some postings want Python generalists who can prototype quickly. Others require low-latency C++ or Java. Filter openings by the language listed most prominently and only pursue roles where your strongest language matches the primary production environment.
Prepare a whiteboard session on order routing
Quantitative technologist interviews frequently include live coding on market microstructure problems, order book simulation, or execution algorithm design. Practice explaining your reasoning out loud while coding, not just arriving at the correct answer silently.
Negotiate comp with desk PnL context in mind
When discussing offers, ground your ask in the revenue impact of the systems you built or maintained. Quantitative technologist compensation is closely tied to desk profitability, so articulating your contribution to that bottom line gives you a defensible anchor.
Quantitative Technologist Jobs: Frequently Asked Questions
Which companies are hiring the most quantitative technologists?
The companies hiring the most quantitative technologists right now include JPMorganChase, Two Sigma, and Millennium Management, with the largest share of openings in New York, California, and Illinois, based on current listings on Migrate Mate as of November 2026. Hedge funds, proprietary trading firms, and large investment banks consistently account for the bulk of active postings.
How many quantitative technologist jobs are remote?
About 66% of quantitative technologist openings are fully remote or hybrid as of November 2026, reflecting the security and latency requirements of trading infrastructure work. Roles focused on research tooling, data pipeline engineering, or model validation tend to offer more location flexibility than positions tied directly to live execution systems.
How do you become a quantitative technologist?
Start by building a strong foundation in both software engineering and quantitative methods, typically through a degree in computer science, mathematics, or financial engineering. Develop hands-on experience with trading system components through personal projects, internships, or adjacent roles in data engineering or software development at financial firms. Demonstrating that you can bridge rigorous modeling with production-grade code is the core credential the role requires.
Can I get a quantitative technologist job with little experience?
Entry-level quantitative technologist roles do exist, particularly at firms with structured graduate programs, but competition is intense. The most effective path without direct experience is to build a portfolio of trading system components, such as a backtesting engine, an order book simulator, or a real-time data feed handler, and to demonstrate proficiency in a relevant production language like C++ or Python through open-source contributions or academic projects.
What does the quantitative technologist interview process look like?
Most quantitative technologist interviews include a recruiter screen, a technical phone round covering data structures and system design, and one or more on-site stages with live coding exercises focused on financial computing problems. Expect questions on low-latency design, concurrency, and market microstructure alongside standard algorithm problems. Some firms add a research collaboration exercise where you implement a simplified model provided by the quant team.
Where can I find and apply to quantitative technologist jobs?
You can find and apply to quantitative technologist jobs on Migrate Mate, which lists current openings from across the United States. Search the available roles, find the ones that match your background and target firm type, and apply directly to each listing that fits.
See All 592+ Quantitative Technologist Jobs
Find roles that match your experience and apply in just a few clicks.
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