TN Visa Quantitative Analyst Jobs
Quantitative Analyst roles qualify for TN visa sponsorship under the USMCA treaty's economist and mathematician categories, giving Canadian and Mexican professionals a direct path to U.S. employment without lottery risk. Employers file your TN paperwork before your start date, and the status renews indefinitely in three-year increments.
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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 Quantitative Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Quantitative Analyst Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Quantitative Analyst
Document your quantitative degree match precisely
TN visa classification for quant roles hinges on your degree aligning with economist, mathematician, or statistician categories. A generic 'business' degree without a quantitative concentration will draw scrutiny at the port of entry, so pull your official transcripts and have your institution confirm the degree field on paper.
Target banks and asset managers with dedicated quant desks
Firms running systematic trading, risk modeling, or derivatives pricing hire quants regularly and have internal immigration teams familiar with TN filings. Prioritize employers who already have TN holders on staff, as they'll know exactly what the support letter needs to say.
Request a detailed employer support letter upfront
The TN support letter must specify your job duties, the USMCA professional category, your degree field, and your start date. Vague letters describing you as an 'analyst' rather than explicitly citing economist or mathematician duties are a common reason for secondary inspection delays.
Understand Mexican nationals face a TN numerical cap
Unlike Canadians who obtain TN status directly at the border, Mexican nationals must apply at a U.S. consulate, and an annual cap of 5,500 TNs applies. Time your job offer acceptance and application to avoid filing late in a fiscal year when allocations run thin.
Use Migrate Mate to find employers with visa filing experience
Searching broadly for quant roles wastes time on employers unfamiliar with visa sponsorship. Migrate Mate filters specifically for employers with recent visa filings in quantitative and data roles, so your applications go to companies already experienced with supporting work visa candidates.
Align your start date with TN approval before resigning
Canadians get TN status issued same-day at a land port or airport, but USCIS premium processing for a change of status takes about 15 business days. Don't give notice at your current employer until you have written confirmation of your TN approval or I-797 receipt.
Quantitative Analyst TN Visa: Frequently Asked Questions
Does a Quantitative Analyst role actually qualify for TN visa status?
Yes, but the classification depends on how the role is framed. TN visa categories don't include a standalone 'quantitative analyst' designation, so employers must classify your position under economist, mathematician, or statistician, depending on your primary duties. A role focused on pricing models or statistical arbitrage maps cleanly to mathematician or statistician. A role centered on economic forecasting or market research fits economist. Your support letter needs to make that connection explicit, citing USMCA Appendix 1603.D.1.
How does TN visa sponsorship for quant roles compare to H-1B?
TN is faster and more predictable for Canadian and Mexican quants. There's no annual lottery, no cap for Canadians, and no multi-month wait for a start date slot. H-1B visa registration opens once per year in March, and selection is random regardless of your qualifications. With TN, a Canadian can receive status at the border on the same day their employer files the support letter. For quant roles at banks, hedge funds, and tech firms, TN is almost always the faster route if you hold Canadian or Mexican citizenship.
What documentation does my employer need to prepare for my TN filing?
Your employer's support letter is the core document and must include your job title, a description of duties that maps to an eligible USMCA category, your degree and field of study, your citizenship, your anticipated start date, and confirmation the position is not permanent. You'll also need your degree certificates and transcripts. Canadians present these documents at the port of entry; Mexican nationals submit them as part of the DS-160 consular application package.
Where can I find Quantitative Analyst jobs with TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals searching for roles that may qualify for TN status. You can filter by visa type and job category to surface quant roles at employers with recent visa filings, which significantly narrows your list to companies already experienced with work visa sponsorship and unlikely to withdraw an offer over immigration paperwork complexity.
Can I switch employers after starting a Quantitative Analyst role on TN status?
Yes, but TN status is employer-specific. If you accept a new quant role, your new employer must file a fresh TN petition or you must obtain new TN status at a port of entry before starting work. You can't transfer your existing TN approval to the new employer the way some other visa categories allow portability. Canadians often handle this by driving to a land border for same-day re-entry with the new employer's support letter.