TN Visa Developer Jobs
Developer roles qualify for TN visa sponsorship under the USMCA treaty's Computer Systems Analyst category, covering software engineers, web developers, and related specialties. Canadian citizens can enter at the border with an approved offer letter. Mexican citizens apply through a U.S. consulate. No lottery, no cap for Canadians.
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Principal Quant Developer
The Role
The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including R, Python, and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.
You Will Possess
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
The Expertise And Skills You Bring
Core Engineering
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Data & Infrastructure
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
DevOps & CI/CD
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
MLOps & AI Infrastructure
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Quantitative & Domain Knowledge
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
- Progress towards CFA (or equivalent) a plus
Collaboration & Communication
- Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals
- Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams
- A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
- Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
- Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
- Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices
The Team
The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.
The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications
Category: Information Technology
Job Description
Principal Quant Developer
The Role
The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including R, Python, and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.
You Will Possess
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
The Expertise And Skills You Bring
Core Engineering
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Data & Infrastructure
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
DevOps & CI/CD
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
MLOps & AI Infrastructure
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Quantitative & Domain Knowledge
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
- Progress towards CFA (or equivalent) a plus
Collaboration & Communication
- Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals
- Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams
- A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
- Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
- Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
- Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices
The Team
The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.
The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications
Category: Information Technology
See all TN Visa Developer Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Developer
Align your title to TN-qualifying categories
TN visa approval depends on your job title mapping to an approved USMCA occupation. 'Software Developer' and 'Computer Systems Analyst' clear the threshold; 'Product Engineer' or 'Technical Lead' often don't without a strong job description tying the role to systems analysis work.
Build a degree-to-role paper trail
Your degree must directly support the Developer role in your offer letter. A computer science or software engineering degree is clean. An unrelated degree requires a credential evaluation showing technical coursework equivalent to a qualifying field before you approach employers.
Target employers with recent visa filing experience
Companies that have filed recent work visa petitions for Developer roles already understand visa sponsorship mechanics. Filtering by employers with documented visa filing history cuts your search to companies who won't treat your visa status as a dealbreaker during the offer stage.
Use Migrate Mate to find Developer roles with TN sponsorship
Migrate Mate surfaces Developer jobs from employers with recent visa filings, demonstrating experience with work visa sponsorship under USMCA and other visa programs. This means you're not cold-applying to companies unfamiliar with sponsoring international talent. Search by role and filter for positions that match TN eligibility requirements directly.
Clarify the offer letter format before signing
Canadian citizens present their offer letter at a port of entry instead of attending a consulate interview. That letter must include your title, duties, salary, and start date in a format CBP officers accept. A vague or incomplete letter is grounds for denial on the spot.
Understand Mexican citizens face a separate consulate process
Mexican nationals cannot use the Canadian port-of-entry shortcut. You'll apply at a U.S. consulate, where your employer's offer letter, your credentials, and TN category eligibility all get reviewed together. Scheduling early matters because consulate appointment availability varies significantly by location.
Developer TN Visa: Frequently Asked Questions
Does a Developer role actually qualify for TN visa status?
Yes, but the title and duties matter. The USMCA lists 'Computer Systems Analyst' as a qualifying occupation, and USCIS interprets this to include software developers and engineers whose work involves designing, analyzing, or implementing computer systems. A generic 'Developer' title paired with a vague job description can trigger a denial, so your offer letter needs to connect your daily duties explicitly to systems analysis or software development work.
How does TN compare to H-1B for Developer roles?
For Canadian and Mexican developers, TN is faster and far more predictable than H-1B visa. There's no annual lottery, no cap for Canadians, and no multi-month USCIS adjudication wait. Canadian citizens can be approved at a port of entry the same day they present a qualifying offer letter. H-1B requires lottery selection in April and work authorization can't begin until October 1, meaning a successful registration still delays your start by six months or more.
Can I find Developer jobs that already support TN sponsorship?
Yes. Migrate Mate lets you search Developer roles specifically from employers with recent visa filings, so you can focus your applications on companies that already understand work visa sponsorship processes rather than educating hiring managers from scratch on every call.
What happens to my TN status if I switch Developer jobs?
Your TN status is tied to your current employer. If you accept a new Developer role, your new employer must support a fresh TN application before you start. Canadian citizens can do this at the border with a new offer letter. Mexican nationals need a new consulate appointment. You cannot transfer TN status between employers the way an H-1B allows portability after 180 days.
Does my degree field affect TN eligibility for Developer roles?
Yes. A bachelor's degree in computer science, software engineering, or a directly related technical field supports a clean TN application for Developer roles. If your degree is in an unrelated field, such as business or a social science, you'll need a credential evaluation showing your coursework or experience is equivalent to a qualifying technical degree. Gaps between your degree and your job duties are one of the most common reasons TN applications for Developer roles are challenged at entry.