TN Visa Quantitative Research Analyst Jobs
Quantitative Research Analyst roles qualify for TN visa sponsorship under the USMCA treaty's economist and mathematician categories. Canadian citizens can enter at the border with a job offer letter; Mexican citizens need a visa appointment at a U.S. consulate. No lottery, no cap for Canadians, and no multi-year wait.
Find TN Visa Quantitative Research Analyst JobsOverview
Showing 5 of 102+ Quantitative Research Analyst jobs
See all 102+ Quantitative Research Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Quantitative Research Analyst roles.
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 Research Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Quantitative Research Analyst Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Quantitative Research Analyst
Map your degree to TN-eligible categories
TN visa approval for quant roles depends on your degree field, not just your job title. A degree in statistics, mathematics, economics, or financial engineering maps cleanly to approved categories. A general business degree often doesn't, even with identical job duties.
Target employers with quant-heavy trading desks
Asset managers, hedge funds, and proprietary trading firms hire quant analysts at scale and have internal immigration teams familiar with TN filings. Targeting firms where quant roles are core to the business reduces friction during the sponsorship conversation.
Request a support letter before you negotiate
Your TN support letter must describe your role in terms of specialty occupation, not just your title. Ask your prospective employer to outline specific duties tied to your degree field before signing an offer, so the letter passes CBP scrutiny at the border.
Use Migrate Mate to find verified TN-sponsoring employers
Search for Quantitative Research Analyst roles filtered by TN visa sponsorship on Migrate Mate. The platform surfaces employers actively filing TN petitions, so you're not cold-applying to companies that don't yet have a sponsorship process in place.
Prepare Canadian credential recognition documents early
CBP officers at the Canadian border review credentials on the spot. Bring your official transcripts, any professional designations like CFA or FRM, and a one-page credential summary. Missing documents cause delays or secondary inspection that can result in a denied entry.
Understand how Mexican TN processing differs from Canadian
Mexican citizens apply through a U.S. consulate and receive a visa stamp before entering. Processing timelines depend on consulate appointment availability, so apply as soon as your offer letter is finalized rather than waiting until your start date approaches.
Quantitative Research Analyst TN Visa: Frequently Asked Questions
Does a Quantitative Research Analyst role qualify for TN visa status?
Yes, but the fit depends on how your degree and duties align with an approved TN category. Quant analyst roles most commonly qualify under economist or mathematician, depending on whether the work centers on economic modeling or applied mathematics. Your employer's support letter must describe duties that map directly to one of those categories, not just cite your job title.
How does TN compare to H-1B for Quantitative Research Analyst roles?
TN has no lottery and no annual cap for Canadian citizens, so you can start as soon as you have a qualifying offer and supporting documents. H-1B visa requires a March registration, a random selection, and an October 1 start date at the earliest. For quant roles where employers need to fill seats quickly, TN is often faster and more predictable, provided your degree maps to an approved category.
Can I switch employers as a TN visa holder working as a quant analyst?
Yes, but your TN status is tied to your current employer. When you change jobs, your new employer must provide a fresh support letter and you'll need to obtain a new TN approval, either at a port of entry if you're Canadian or through a consular appointment if you're Mexican. You cannot begin working for the new employer until the new TN is approved.
Where can I find Quantitative Research Analyst jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for TN visa job seekers. It filters roles by visa sponsorship type, so you can search Quantitative Research Analyst positions where employers are already prepared to support TN filings. This saves time compared to applying broadly and discovering late in the process that an employer doesn't sponsor TN status.
What documents does a Canadian citizen need to obtain TN status at the border for a quant role?
You'll need a valid Canadian passport, a detailed support letter from your employer describing your duties and how they relate to an approved TN category, proof of your qualifying degree such as official transcripts or a diploma, and the completed Form I-94 entry record. Some CBP officers also ask for evidence of professional credentials like a CFA charter or graduate coursework in quantitative methods.