toronto, on quantitative developer Jobs – 74 Openings This Week

Technical Lead & Manager, Fixed Income Data Engineering - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- 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
PySpark Big Data Senior Developer - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Associate Director - Project Manager - Risk Services
Royal Bank of Canada —Toronto, ON
- Full-time
- Presentation skills
- Bachelor's
- Communication skills
Product Manager, Growth & Partnerships
Parallelz —Toronto, ON
- Full-time
- Hybrid work
- Communication skills
- Dental care
- Paid time off
Quick apply
17h
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
Applications Development Lead – Senior Vice President
Citi —Mississauga, ON
- $145,100–$217,700 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Sr. Product Manager, Provider Services (Telco)
AppDirect —Toronto, ON
- $106,000–$140,000 a year
- Hybrid work
- Computer Science
- Sales
- Master's degree
Quick apply
Senior Manager, Development (Equity Analytics)
Scotiabank —Toronto, ON
- Hybrid work
- Java
- SQL
- Python
- Tuition reimbursement
Growth & Partnerships Manager
Parallelz —Toronto, ON
- Hybrid work
- Communication skills
- Dental care
- Paid time off
Quick apply
Business Analyst
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer science
- Microsoft Excel
- Computer Science
Business Analyst SME
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer science
- Computer Science
- Finance
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
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
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
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
3d
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
Senior Java Developer
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- DevOps
- Java
Solution Architect
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Agile
- Leadership
Software Engineering Lead
S&P Global —Toronto, ON
- $93,000–$150,000 a year
- Azure
- DevOps
- System design
- Paid time off

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Technical Lead & Manager, Fixed Income Data Engineering - Vice President

Citi -
Mississauga, ON

Apply Now

Job details

Full-time
$120,800–$170,800 a year

Qualifications

Data modeling
Cloud architecture
Computer Science
JUnit
Kubernetes
Kanban
Big data
Data structures
Spark
Git
Master's degree
REST
Software development
APIs
Agile
Apache
Unit testing
Data visualization
Business requirements
Leadership
Jenkins
Python
SDLC
Hadoop

Full job description

Job Req Id:

26937696

Location(s):

Mississauga, Ontario, Canada

Job Type:

Hybrid

Posted:

Mar. 05, 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

Summary:

This role is for a application dev leadwithin the FI Data team, responsible for leading, mentoring, and developing a high-performing team of application developers and data engineers. The team focuses on monetizing data generated by the fixed income business and building cutting-edge tools and services that provide actionable insights with a direct impact on revenue and business strategy.

Job purpose:

The FI Data team is undergoing rapid expansion, dedicated to delivering state-of-the-art data-centric solutions. As the Dev lead for risk data reporting, you will play a pivotal role inshaping the team's technical direction, fostering a culture of innovation, and ensuring the successful delivery of strategic initiativesacross sales, risk, pricing, quants, algorithmic trading, execution, trade processing, and more. You willlead and empower engineersutilizing a sophisticated data analytics stack built around big data streaming, distribution technologies, and microservices. Handling exceptionally large daily data volumes, your leadership will be critical in enabling the fixed income business to maintain a competitive advantage by generating real-time insights from these datasets. This leadership role offers a rewarding and exciting opportunity tomentor and guide a teamthat directly impacts one of the most forward-thinking and successful businesses on the street, solving complex business and technology problems with a direct, measurable revenue impact.

Key Responsibilities:

Lead and overseethe design and development of high-performance green-field data analytics products for a Tier 1 bank, ensuring architectural excellence and alignment with business goals.
Collaborate strategicallywith other dev leads in US and Canada, translating complex business requirements into technical roadmaps and fostering a partnership approach to deliver impactful solutions.
Drive innovationwithin the team, encouraging the exploration and implementation of cutting-edge data visualization and analytics solutions.
Mentor and guide team membersin applying an engineering mindset, fostering deep understanding of use-cases, developing robust estimation techniques for volume and compute velocity, and openly addressing implementation limitations.
Lead the evaluation and development of Proof-of-Concepts (POCs)for new strategic initiatives, guiding the team to convert successful prototypes into robust enterprise solutions.
Foster a culture of continuous learning and growthwithin the team, empowering members to research, learn, and recommend emerging technologies.
Provide leadership and strategic directionfor post-release support, collaborating closely with business, development, and support groups to ensure operational stability and client satisfaction.
Manage team performance, including goal setting, performance reviews, career development, and providing regular feedback to foster professional growth.
Participate in hiring processes, attracting, interviewing, and onboarding top talent to grow the team's capabilities.
Facilitate effective communicationwithin the team and across different stakeholders, ensuring transparency and alignment.

Knowledge/Experience:

Technical Skills:

6+ years of demonstrable and relevant experience in software development, with at least 3-5 years in a leadership rolewithin a high-performing technical team.
Strong understanding of Python 3.6,with the ability to guide and review complex solutions.
Solid understanding of REST API development,including best practices for design, security, and scalability.
Demonstrable experience indriving the creationof reusable, testable, and efficient code with proper error and exception handling,and establishing coding standards.
Extensive experience with the design and implementation of cloud-native applications and deployment via Kubernetes / Openshift,including strategic decision-making on cloud architecture.
Expertise in big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite),and a track record of leading teams leveraging these technologies.
Hands-on experience in handling various data structures,and the ability to guide complex data modeling decisions.

Software Engineering Leadership:

Proven leadership in establishing and maturingContinuous Integration and Continuous Delivery environments. Familiarity with TeamCity, Sonarqube, and Jenkins.
Extensive experience with the SDLC lifecycle and inleading and coachingwithin an Agile environment (Scrum/Kanban).
Demonstrableleadership in promoting and enforcingengineering best practices: design patterns, coding standards, rigorous code review processes, and comprehensive unit testing strategies (e.g., Mockito, Junit, Pytest).
Deep understanding of Agile software development methodologies andstrong experience in driving adoption and optimizationof standard CI tools (Jenkins, TeamCity, Sonarqube, git).

Leadership and Interpersonal Skills:

Exceptional leadership, communication (oral and written), and interpersonal skills, with a proven ability to motivate, inspire, and develop diverse technical teams.
Strong ability to build and nurture influential relationshipswith senior stakeholders, peers, and business partners across the organization.
Self-motivated, highly organized, and results-oriented, with a strong determination to achieve team goals and the ability to empower autonomous work.
Flexible and adaptable leaderwith a track record of successfully guiding teams to deliver high-quality results within demanding timelines.
Demonstrated experience in performance management, career development, and conflict resolutionwithin a technical team.

Qualifications / Education:

Strong academic record, ideally with a Bachelors or Masters degree in Computer Science, or related technical/quantitative discipline.Proven success in leading teams in the design and delivery of complex, multi-tiered applications.
Ideally, a foundational understanding of financial derivatives (rates or other) or a strong willingness to rapidly learn and apply knowledge in this domain.

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

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Job Overview

Summary:

Job purpose:

Key Responsibilities:

Lead and overseethe design and development of high-performance green-field data analytics products for a Tier 1 bank, ensuring architectural excellence and alignment with business goals.

Collaborate strategicallywith other dev leads in US and Canada, translating complex business requirements into technical roadmaps and fostering a partnership approach to deliver impactful solutions.

Drive innovationwithin the team, encouraging the exploration and implementation of cutting-edge data visualization and analytics solutions.

Mentor and guide team membersin applying an engineering mindset, fostering deep understanding of use-cases, developing robust estimation techniques for volume and compute velocity, and openly addressing implementation limitations.

Lead the evaluation and development of Proof-of-Concepts (POCs)for new strategic initiatives, guiding the team to convert successful prototypes into robust enterprise solutions.

Foster a culture of continuous learning and growthwithin the team, empowering members to research, learn, and recommend emerging technologies.

Provide leadership and strategic directionfor post-release support, collaborating closely with business, development, and support groups to ensure operational stability and client satisfaction.

Manage team performance, including goal setting, performance reviews, career development, and providing regular feedback to foster professional growth.

Participate in hiring processes, attracting, interviewing, and onboarding top talent to grow the team's capabilities.

Facilitate effective communicationwithin the team and across different stakeholders, ensuring transparency and alignment.

Knowledge/Experience:

Technical Skills:

6+ years of demonstrable and relevant experience in software development, with at least 3-5 years in a leadership rolewithin a high-performing technical team.

Strong understanding of Python 3.6,with the ability to guide and review complex solutions.

Solid understanding of REST API development,including best practices for design, security, and scalability.

Demonstrable experience indriving the creationof reusable, testable, and efficient code with proper error and exception handling,and establishing coding standards.

Extensive experience with the design and implementation of cloud-native applications and deployment via Kubernetes / Openshift,including strategic decision-making on cloud architecture.

Expertise in big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite),and a track record of leading teams leveraging these technologies.

Hands-on experience in handling various data structures,and the ability to guide complex data modeling decisions.

Software Engineering Leadership:

Proven leadership in establishing and maturingContinuous Integration and Continuous Delivery environments. Familiarity with TeamCity, Sonarqube, and Jenkins.

Extensive experience with the SDLC lifecycle and inleading and coachingwithin an Agile environment (Scrum/Kanban).

Demonstrableleadership in promoting and enforcingengineering best practices: design patterns, coding standards, rigorous code review processes, and comprehensive unit testing strategies (e.g., Mockito, Junit, Pytest).

Deep understanding of Agile software development methodologies andstrong experience in driving adoption and optimizationof standard CI tools (Jenkins, TeamCity, Sonarqube, git).

Leadership and Interpersonal Skills:

Exceptional leadership, communication (oral and written), and interpersonal skills, with a proven ability to motivate, inspire, and develop diverse technical teams.

Strong ability to build and nurture influential relationshipswith senior stakeholders, peers, and business partners across the organization.

Self-motivated, highly organized, and results-oriented, with a strong determination to achieve team goals and the ability to empower autonomous work.

Flexible and adaptable leaderwith a track record of successfully guiding teams to deliver high-quality results within demanding timelines.

Demonstrated experience in performance management, career development, and conflict resolutionwithin a technical team.