TN Visa Senior Quantitative Researcher Jobs
Senior Quantitative Researcher roles qualify for TN visa sponsorship under the USMCA's Mathematics category, covering statistical modeling, algorithmic research, and quantitative analysis work. Canadian citizens can apply at the port of entry with no cap or lottery. Mexican citizens require a consular appointment. Employers file no separate petition with USCIS.
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Get Access To All JobsIB Quants – Quantitative Analyst (QIS AI & Automation)
Location: United Kingdom, United States - New York
Job Type: Full Time
Key responsibilities
Are you passionate about quantitative finance, systematic investment strategies, and applying AI to solve real Front Office business challenges?
We're looking for a Quantitative Analyst to join the IB Quants team in ACQA supporting the Quantitative Investment Strategies (QIS) business. Working at the intersection of quantitative analytics, software engineering, and AI, you will partner closely with QIS Trading, Structuring, Sales, and Technology teams to develop next-generation analytics, automation, and AI-enabled solutions supporting the full lifecycle of QIS products and strategies.
You will contribute to the design and delivery of quantitative strategy analytics, hedge and risk management tools, and intelligent workflow solutions that help accelerate innovation, improve scalability, and enhance the efficiency of the QIS business. This role offers the opportunity to apply modern quantitative methods and AI technologies in production environments while gaining deep exposure to systematic investment strategies and tooling & business workflows of the QIS business.
Your responsibilities
- Design, develop, and support quantitative analytics, applications, and automation solutions supporting the QIS business.
- Partner directly with QIS business to understand business requirements and rapidly deliver impactful solutions.
- Build AI-enabled applications leveraging Large Language Models (LLMs), Agentic AI architectures, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and machine learning techniques.
- Develop tools supporting QIS strategy management, monitoring, and hedging activities.
- Contribute to the automation and industrialisation of QIS strategy workflows, calculations, controls, and operational processes.
- Collaborate closely with peer Quant, Trading, Structuring, Sales, Risk, and Technology teams globally throughout the full development lifecycle.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
The team
You will join the ACQA Quants team supporting the Quantitative Investment Strategies (QIS) business within Global Markets.
The team delivers quantitative analytics, tooling, and automation solutions supporting the design, pricing, risk management, hedging, and lifecycle management of QIS products.
You will work within the ACQA quantitative analytics ecosystem and collaborate closely with the wider QIS Platform, Strategy Quant, Quant Core Platform, and Valuation Model teams globally. In addition, you will partner directly with Front Office stakeholders to design and deliver strategic analytics, automation, and AI-enabled solutions that create measurable business impact.
This role provides a unique opportunity to work at the intersection of quantitative finance, software engineering, and AI while gaining deep exposure to systematic investment strategies and quantitative products across asset classes.
Your skills and experience
Must-have skills & experience
Education & Professional Experience
- 5+ years of experience in a quantitative analyst, quantitative developer, AI engineering, machine learning, systematic trading, or front-office analytics role.
- Bachelor's, Master's, or PhD degree in Mathematics, Physics, Engineering, Computer Science, Statistics, Financial Engineering, or a related quantitative discipline.
- Proven experience delivering production-grade analytics, automation, or AI-enabled solutions.
- Experience working directly with business stakeholders to translate requirements into scalable technical solutions.
Quantitative Finance & Business Knowledge
- Understanding of quantitative finance, derivatives, systematic investment strategies, risk management, or Front Office trading workflows.
- Strong analytical and problem-solving skills with the ability to develop practical solutions to complex business challenges.
- Strong communication and stakeholder management skills.
- Interest in quantitative investment products and strategy lifecycle management.
Software Engineering
- Strong Python development skills with experience building production-quality applications.
- Strong understanding of software engineering principles, including data structures, algorithms, software design, API development, testing, and version control.
- Experience developing scalable analytics, automation, or data-driven applications.
AI & Intelligent Automation
- Experience designing, building, or deploying AI-enabled applications, analytics platforms, or workflow automation solutions.
- Practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI architectures, multi-agent systems, or semantic search and knowledge retrieval systems.
- Experience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Microsoft Copilot Studio, OpenAI Agents SDK, or similar enterprise AI frameworks.
- Experience building or integrating Model Context Protocol (MCP) servers, tools, or workflows that connect AI applications with enterprise systems and business processes.
Nice-to-have skills
QIS & Front Office Experience
- Experience supporting Quantitative Investment Strategies (QIS), systematic investment products, index businesses, structured solutions, or systematic trading platforms.
- Experience developing trader-facing analytics, pricing, risk management, hedging, or workflow automation solutions.
- Experience within Equity Derivatives, Rates, FX, Electronic Trading, or Multi-Asset businesses.
Additional Technology Experience
- Proficiency in C++, Java, or C#.
- Experience with KDB+/q, Kafka, Kubernetes, Docker, cloud platforms (Azure, AWS, or GCP), vector databases, or distributed computing technologies.
Advanced AI & Data Experience
- Experience deploying machine learning models in production environments.
- Experience building agentic workflows, MCP-based integrations, enterprise AI applications, or intelligent automation platforms at scale.
Additional Differentiators
- Understanding of quantitative research, index methodologies, systematic strategies, electronic trading, or market microstructure.
- Demonstrated ability to rapidly learn new business domains and deliver high-quality solutions in a fast-paced Front Office environment.
What will make you stand out
- Track record of developing and delivering production-grade agentic applications, MCP-enabled integrations, or enterprise AI platforms.
- Proven experience delivering analytics, automation, or AI-enabled solutions within a QIS, systematic trading, derivatives, or Front Office environment.
- Experience supporting quantitative strategy development, lifecycle management, pricing, risk management, or hedging processes.
You’re curious to explore how AI can improve how we build, deliver and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standard and ethical use.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.
Salary information
The indicative gross base salary range as a full-time equivalent role:
- United States - New York - New York min USD 225000 - max USD 242500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
IB Quants – Quantitative Analyst (QIS AI & Automation)
Location: United Kingdom, United States - New York
Job Type: Full Time
Key responsibilities
Are you passionate about quantitative finance, systematic investment strategies, and applying AI to solve real Front Office business challenges?
We're looking for a Quantitative Analyst to join the IB Quants team in ACQA supporting the Quantitative Investment Strategies (QIS) business. Working at the intersection of quantitative analytics, software engineering, and AI, you will partner closely with QIS Trading, Structuring, Sales, and Technology teams to develop next-generation analytics, automation, and AI-enabled solutions supporting the full lifecycle of QIS products and strategies.
You will contribute to the design and delivery of quantitative strategy analytics, hedge and risk management tools, and intelligent workflow solutions that help accelerate innovation, improve scalability, and enhance the efficiency of the QIS business. This role offers the opportunity to apply modern quantitative methods and AI technologies in production environments while gaining deep exposure to systematic investment strategies and tooling & business workflows of the QIS business.
Your responsibilities
- Design, develop, and support quantitative analytics, applications, and automation solutions supporting the QIS business.
- Partner directly with QIS business to understand business requirements and rapidly deliver impactful solutions.
- Build AI-enabled applications leveraging Large Language Models (LLMs), Agentic AI architectures, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and machine learning techniques.
- Develop tools supporting QIS strategy management, monitoring, and hedging activities.
- Contribute to the automation and industrialisation of QIS strategy workflows, calculations, controls, and operational processes.
- Collaborate closely with peer Quant, Trading, Structuring, Sales, Risk, and Technology teams globally throughout the full development lifecycle.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
The team
You will join the ACQA Quants team supporting the Quantitative Investment Strategies (QIS) business within Global Markets.
The team delivers quantitative analytics, tooling, and automation solutions supporting the design, pricing, risk management, hedging, and lifecycle management of QIS products.
You will work within the ACQA quantitative analytics ecosystem and collaborate closely with the wider QIS Platform, Strategy Quant, Quant Core Platform, and Valuation Model teams globally. In addition, you will partner directly with Front Office stakeholders to design and deliver strategic analytics, automation, and AI-enabled solutions that create measurable business impact.
This role provides a unique opportunity to work at the intersection of quantitative finance, software engineering, and AI while gaining deep exposure to systematic investment strategies and quantitative products across asset classes.
Your skills and experience
Must-have skills & experience
Education & Professional Experience
- 5+ years of experience in a quantitative analyst, quantitative developer, AI engineering, machine learning, systematic trading, or front-office analytics role.
- Bachelor's, Master's, or PhD degree in Mathematics, Physics, Engineering, Computer Science, Statistics, Financial Engineering, or a related quantitative discipline.
- Proven experience delivering production-grade analytics, automation, or AI-enabled solutions.
- Experience working directly with business stakeholders to translate requirements into scalable technical solutions.
Quantitative Finance & Business Knowledge
- Understanding of quantitative finance, derivatives, systematic investment strategies, risk management, or Front Office trading workflows.
- Strong analytical and problem-solving skills with the ability to develop practical solutions to complex business challenges.
- Strong communication and stakeholder management skills.
- Interest in quantitative investment products and strategy lifecycle management.
Software Engineering
- Strong Python development skills with experience building production-quality applications.
- Strong understanding of software engineering principles, including data structures, algorithms, software design, API development, testing, and version control.
- Experience developing scalable analytics, automation, or data-driven applications.
AI & Intelligent Automation
- Experience designing, building, or deploying AI-enabled applications, analytics platforms, or workflow automation solutions.
- Practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI architectures, multi-agent systems, or semantic search and knowledge retrieval systems.
- Experience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Microsoft Copilot Studio, OpenAI Agents SDK, or similar enterprise AI frameworks.
- Experience building or integrating Model Context Protocol (MCP) servers, tools, or workflows that connect AI applications with enterprise systems and business processes.
Nice-to-have skills
QIS & Front Office Experience
- Experience supporting Quantitative Investment Strategies (QIS), systematic investment products, index businesses, structured solutions, or systematic trading platforms.
- Experience developing trader-facing analytics, pricing, risk management, hedging, or workflow automation solutions.
- Experience within Equity Derivatives, Rates, FX, Electronic Trading, or Multi-Asset businesses.
Additional Technology Experience
- Proficiency in C++, Java, or C#.
- Experience with KDB+/q, Kafka, Kubernetes, Docker, cloud platforms (Azure, AWS, or GCP), vector databases, or distributed computing technologies.
Advanced AI & Data Experience
- Experience deploying machine learning models in production environments.
- Experience building agentic workflows, MCP-based integrations, enterprise AI applications, or intelligent automation platforms at scale.
Additional Differentiators
- Understanding of quantitative research, index methodologies, systematic strategies, electronic trading, or market microstructure.
- Demonstrated ability to rapidly learn new business domains and deliver high-quality solutions in a fast-paced Front Office environment.
What will make you stand out
- Track record of developing and delivering production-grade agentic applications, MCP-enabled integrations, or enterprise AI platforms.
- Proven experience delivering analytics, automation, or AI-enabled solutions within a QIS, systematic trading, derivatives, or Front Office environment.
- Experience supporting quantitative strategy development, lifecycle management, pricing, risk management, or hedging processes.
You’re curious to explore how AI can improve how we build, deliver and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standard and ethical use.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.
Salary information
The indicative gross base salary range as a full-time equivalent role:
- United States - New York - New York min USD 225000 - max USD 242500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
See all 102+ TN Visa Senior Quantitative Researcher Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Senior Quantitative Researcher Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship in Senior Quantitative Researcher
Align your credentials to Mathematics category
TN visa classification for this role depends on the Mathematics occupational category. Your degree must explicitly cover mathematics, statistics, or a closely related quantitative field. A computer science or finance degree alone may not satisfy the requirement without documented mathematical coursework.
Target employers with active quantitative research teams
Hedge funds, asset managers, and technology firms with dedicated quant research divisions file TN applications regularly. Prioritize roles where the job description explicitly requires advanced statistical modeling or mathematical research, not just data analysis or business intelligence work.
Request a support letter covering specialty occupation
Ask your prospective employer to draft a TN support letter that details the mathematical nature of your day-to-day responsibilities. Vague job descriptions at the border create delays. The letter should name specific methods you'll use, such as stochastic modeling or Monte Carlo simulation.
Use Migrate Mate to find sponsoring employers
Search for Senior Quantitative Researcher roles with TN visa sponsorship using Migrate Mate. It filters specifically for employers open to Canadian and Mexican professionals under USMCA, saving you from applying to positions where sponsorship was never on the table.
Prepare for CBP scrutiny on dual-role positions
If your role blends quantitative research with software engineering or trading, CBP officers may question whether it qualifies under Mathematics. Bring documentation showing that research and modeling constitute the primary function, not a secondary one within a broader technology or finance role.
Understand Mexican applicants face a separate consular process
Unlike Canadians who present TN documents directly at the port of entry, Mexican citizens must schedule a consular visa appointment. Factor in local wait times and have all employer documentation certified and organized before your appointment date.
Senior Quantitative Researcher TN Visa: Frequently Asked Questions
Does a Senior Quantitative Researcher role qualify for TN visa status?
Yes, if the position is classified under the Mathematics occupational category in the USMCA schedule. The role must center on mathematical research, statistical modeling, or quantitative analysis. Positions blending quant research with software development or trading strategy may face closer scrutiny at the port of entry, so job title alone is not enough to guarantee approval.
How does the TN visa compare to H-1B for Senior Quantitative Researchers?
The TN visa has no annual cap and no lottery for Canadian citizens, meaning you can apply at any time and receive a decision the same day at the border. H-1B visa requires entering a lottery with roughly a 25% selection rate and waiting months for adjudication. For qualified Canadian and Mexican professionals, TN is a faster and more predictable path to U.S. employment.
Where can I find Senior Quantitative Researcher jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking roles with TN visa sponsorship. You can search Senior Quantitative Researcher positions filtered by employers already open to USMCA visa categories, rather than spending time applying to roles where sponsorship was never considered.
What documents does my employer need to provide for my TN application?
Your employer must provide a support letter on company letterhead that describes your job title, the mathematical nature of your responsibilities, your qualifications, your anticipated length of employment, and confirmation that the role requires a professional in the Mathematics category. Canadian citizens present this letter directly to CBP. Mexican citizens submit it as part of their consular visa application package.
Can I switch employers while working in the U.S. as a Senior Quantitative Researcher on TN status?
Yes, but your TN status is tied to your current employer. When changing jobs, you must obtain a new TN authorization before starting with the new employer. Canadians can do this by presenting updated documentation at a port of entry. Mexican citizens must apply for a new TN visa at a U.S. consulate. Working for a new employer without updated TN authorization violates your status.