Greater Toronto Area On Quantitative developer Jobs – 79 Openings This Week

Senior AI Engineer, Banking Technology – Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
Usability Staff Engineer
One Identity —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- Software development
Director, Model Validation
BMO Financial Group —Toronto, ON
- $121,600–$211,800 a year
- Full-time
- Computer science
- Doctoral degree
- Engineering
- Tuition reimbursement
- Life insurance
Growth & Partnerships Manager
Parallelz —Toronto, ON
- Hybrid work
- Communication skills
- Dental care
- Paid time off
Quick apply
Software Engineering Lead
S&P Global —Toronto, ON
- $93,000–$150,000 a year
- Azure
- DevOps
- System design
- Paid time off
Associate, Business Development - TD Asset Management
TD Bank —Toronto, ON
- $77,500–$115,200 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Paid time off
2d
Product Manager, Core Platforms
Questrade Financial Group —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
Solution Architect
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Agile
- Leadership
Technical Lead - Chocolate Toronto
Mondelēz International —Toronto, ON
- $102,600–$128,250 a year
- Full-time
- Engineering
- Project management
- Bachelor's
- Disability insurance
- Paid time off
Applications Development Lead – Senior Vice President
Citi —Mississauga, ON
- $145,100–$217,700 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Client Solution Consultant - Wealth Management
d1g1t —Toronto, ON
- $100,000–$135,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Computer Science
- Writing skills
- Employee assistance program
- Flexible schedule
Quick apply
Principal Enterprise Architect, AI Platform
Priceline.com —Toronto, ON
- $150,000–$175,000 a year
- Full-time
- Hybrid work
- Computer science
- Doctoral degree
- Computer Science
- Disability insurance
- Dental care
10d
Manager, Balance Sheet and Liquidity Risk Model Validation
Royal Bank of Canada —Toronto, ON
- Full-time
- Microsoft Excel
- Computer Science
- Finance
7d
Manager, Lending Strategy, Reporting Insights
BMO Financial Group —Toronto, ON
- $69,000–$129,000 a year
- Full-time
- Finance
- Master's degree
- SQL
- Tuition reimbursement
- Life insurance
AVP, Data Science
Aviva —Markham, ON
- Hybrid work
- Analysis skills
- Bachelor's
- Leadership
Associate Director, Data Development Lead
Royal Bank of Canada —Toronto, ON
- Full-time
- Oracle
- DevOps
- Databases
13d
Principal Consultant, AI Assessments, Proactive Services (Unit 42) - Remote
Palo Alto Networks —Toronto, ON
- Remote
- Azure
- Computer Science
- DevOps
Principal Graphics Engineer
Parallelz —Toronto, ON
- Hybrid work
- C++
- Linux
- AI
- Dental care
- Paid time off
Quick apply
Senior Estimator - Nuclear Decommissioning & Environmental Remediation
Dokainish & Company —Toronto, ON
- Full-time
- Hybrid work
- Engineering
- Bachelor's
- Construction Management
Quick apply

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AVP, Data Science
Aviva —Markham, ON
As Assistant Vice President, Data Science, you’ll play a pivotal role in how we price risk, unlock insights and make confident decisions that impact customers,…
Product Manager, Core Platforms
Questrade Financial Group —Toronto, ON
CSPO (Certified Scrum Product Owner), CSM (Certified Scrum Master) or other relevant business analysis certification an asset.
$120,000–$150,000 a year
Quick apply

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Senior AI Engineer, Banking Technology – Vice President

Citi -
Mississauga, ON

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Job details

Full-time
$120,800–$170,800 a year

Qualifications

Spring Boot
TensorFlow
Node.js
Law
Computer Science
Kubernetes
PyTorch
Full-stack development
NumPy
Git
Java
Master's degree
Microservices
Pandas
Analysis skills
Docker
Bachelor's
Machine learning
JavaScript
Angular
GitHub
APIs
Agile
Financial services
AI
TypeScript
Python
Debugging

Full job description

Job Req Id:

26956096

Location(s):

Mississauga, Ontario, Canada

Job Type:

Hybrid

Posted:

Apr. 16, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Discover your future at Citi

Role Overview

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI Engineer to design, build, and deploy cutting‑edge AI solutions across Investment, Corporate, and Commercial Banking.

This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset, emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities.

Responsibilities:

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability.
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).
Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot, Antigravity).
Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement.
Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.
Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies.
Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers.
Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes

Qualifications:

6–10 years of progressive software engineering experience with a strong hands‑on coding background.
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning.
Demonstrated experience delivering enterprise‑scale AI capabilities into production.
Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus.
Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems.
Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK).
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas).
Familiarity with AI coding tools such as Devin, GitHub Copilot, and Antigravity.
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.
Experience designing API‑first, microservices‑based and event‑driven architectures, including data engineering patterns for AI systems.
Hands‑on experience with Docker, Kubernetes, and OpenShift.
Strong analytical skills with the ability to clearly communicate complex technical concepts.
Solid understanding of banking/financial services and regulated environments.
Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers.

Education:

Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

This job opening is for an existing job vacancy.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply Now

Refine Your Search

quantitative developer jobs in greater toronto area on

Senior AI Engineer, Banking Technology – Vice President

Usability Staff Engineer

Director, Model Validation

Growth & Partnerships Manager

Software Engineering Lead

Associate, Business Development - TD Asset Management

Product Manager, Core Platforms

Solution Architect

Technical Lead - Chocolate Toronto

Applications Development Lead – Senior Vice President

Client Solution Consultant - Wealth Management

Principal Enterprise Architect, AI Platform

Manager, Balance Sheet and Liquidity Risk Model Validation

Manager, Lending Strategy, Reporting Insights

AVP, Data Science

Associate Director, Data Development Lead

Principal Consultant, AI Assessments, Proactive Services (Unit 42) - Remote

Principal Graphics Engineer

Senior Estimator - Nuclear Decommissioning & Environmental Remediation

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