TN Visa Quantitative Jobs
Quantitative roles in finance, risk, and data science qualify for TN visa sponsorship under the USMCA for Canadian and Mexican professionals with a relevant degree. Employers file directly with CBP for Canadians or USCIS for Mexicans, and no lottery stands between you and a U.S. offer.
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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 101+ TN Visa Quantitative Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Quantitative Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship in Quantitative
Align your credentials to TN categories
Quantitative roles must map to an approved TN visa occupation like Mathematician, Economist, or Computer Systems Analyst. Pull your transcripts and confirm your degree field matches the category your offer letter will cite before you apply.
Target employers experienced with visa sponsorship
Banks, hedge funds, and insurance firms with recent visa filings demonstrate experience navigating work visa sponsorship. Prioritize roles at institutions with dedicated immigration support teams over those with no prior international hiring experience.
Negotiate the offer letter before anything else
CBP officers scrutinize the job description on your TN offer letter, not your resume. Make sure the letter names the specific TN occupation category, lists your duties in terms that match that category, and states your degree requirement explicitly.
Search TN-sponsored quant jobs through Migrate Mate
Use Migrate Mate to filter quantitative roles by TN sponsorship availability, so you're only applying to employers already set up to file. That cuts out the awkward conversation about visa status mid-process.
Understand the Mexican TN cap before you count on it
Mexican citizens face an annual TN allocation of 5,500 visas. If you're applying late in the fiscal year and your employer has no USCIS premium processing experience, factor potential delays into your start date negotiation with the employer.
Prepare for CBP's specialty occupation scrutiny at the border
Canadian applicants apply at a port of entry, where a CBP officer decides on the spot. Bring a printed offer letter, degree certificate, and transcripts in a single organized packet. Officers have denied TN applications for missing documents at the border.
Quantitative TN Visa: Frequently Asked Questions
Does a quantitative analyst role qualify for a TN visa?
Yes, but the specific TN occupation category depends on your job duties and degree. Roles grounded in applied mathematics or statistics typically map to Mathematician or Statistician. Positions focused on financial modeling may qualify under Economist. The offer letter must name the category explicitly and describe duties that match it, or CBP may deny entry.
How does the TN visa compare to H-1B for quantitative finance roles?
TN has no lottery and no annual cap for Canadians, so you can start a quant role any time of year without waiting for an April registration window. H-1B visa requires lottery selection, a six-month wait if selected, and USCIS petition approval. For Mexican nationals, the TN cap of 5,500 per year rarely fills, making it still faster and more predictable than H-1B for most quant candidates.
How do I find quantitative employers who will sponsor TN visas?
Use Migrate Mate to search specifically for quantitative roles filtered by TN visa sponsorship. This avoids applying to employers unfamiliar with the TN process, which often stalls at the offer stage when HR realizes they've never filed a TN petition before. Targeting firms with established immigration infrastructure saves weeks of back-and-forth.
What documents do I need at the border for a Canadian TN application in a quant role?
Bring your original degree certificate, official transcripts confirming your field of study, and a detailed offer letter from your U.S. employer that states your TN occupation category, job duties, compensation, and intended duration. Some CBP officers also ask for a professional license if your stated category typically requires one. Organize everything in a single packet before you arrive.
Can I switch quantitative employers on a TN visa without losing status?
Canadians can apply at the border for a new TN tied to the new employer before leaving the previous job, but you cannot work for the new employer until CBP approves the new application. Mexican nationals must file a new USCIS petition and should not start with the new employer until they receive approval, since TN status is employer-specific under USMCA rules.