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Fixed Income Trading Jobs in Ontario (NOW HIRING)

Td

Technical Product Designer, TD Securities

Toronto, ON

CA$84K - CA$98K/yr

... Fixed Income, and Operations, along with the shared FICC Unified Desktop platform that brings these experiences together. We work directly with Front-Office Sales & Trading users, Operations teams ...

New

Royal Bank of Canada

Trade Support Analyst

Toronto, ON · On-site

The Fixed Income Derivative Operations group under RBC Capital Markets is looking to hire a Trade Support Reconciliation Analyst - to support the Toronto and New York rates derivatives trading desks.

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Showing results 41-60

All JobsFixed Income Trading JobsFixed Income Trading Jobs in Ontario

Fixed Income Trading information

See Ontario salary details

$28.5K

$143.4K

$270.5K

How much do fixed income trading jobs pay per year?

As of Aug 16, 2026, the average yearly pay for fixed income trading in Ontario is $143,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $162,500.00 per year, depending on experience, location, and employer.

What is the difference between Fixed Income Trading vs Fixed Income Sales?

AspectFixed Income TradingFixed Income Sales
Primary RoleExecuting bond and debt security trades for clients or firmBuilding client relationships and selling fixed income products
Work EnvironmentFast-paced trading floors, financial institutionsClient-facing, relationship management
Required SkillsMarket analysis, trading strategies, quick decision-makingCommunication, client service, product knowledge
CertificationsSeries 7, 63, 65/66 often requiredSeries 7, 63, 65/66 often required

Fixed Income Trading involves executing bond trades and managing market risks, focusing on market strategies and quick decision-making. Fixed Income Sales centers on client relationships and selling fixed income products, emphasizing communication and client service. Both roles often require similar certifications and work within the same industry environment, but their core functions differ significantly.

What is fixed income trading?

Fixed income trading involves the buying and selling of securities that pay fixed interest or dividends, such as government and corporate bonds. Traders in this field analyze economic trends, interest rates, and credit risk to make informed decisions about when to buy or sell these securities. The goal is to generate returns for investors while managing risks associated with interest rate fluctuations and issuer creditworthiness. Fixed income trading can take place in various markets, including over-the-counter and exchange-traded platforms.

What are some common challenges faced by professionals in fixed income trading, and how can they be addressed?

Fixed Income Trading professionals often encounter challenges such as managing interest rate risk, staying updated with rapidly changing market conditions, and ensuring regulatory compliance. Successfully navigating these challenges requires strong analytical skills, real-time market monitoring, and close collaboration with research teams and compliance officers. Building effective communication with sales and portfolio management teams also helps in making informed trading decisions and adapting strategies as market dynamics evolve.

What do you do as a fixed income trader?

A fixed income trader buys and sells debt securities such as bonds and government securities to generate profit and manage risk for their firm or clients. They analyze market trends, interest rates, and economic data, often using trading platforms and financial models, to make informed trading decisions quickly in a fast-paced environment.

How much does a fixed income trader make?

A fixed income trader's salary varies based on experience, location, and firm size, but typically ranges from $70,000 to over $200,000 annually, with senior traders earning higher bonuses and incentives. Compensation often includes base salary, performance bonuses, and sometimes profit sharing, reflecting the trader's success and market conditions.

What are the key skills and qualifications needed to thrive as a fixed income trader?

To thrive as a Fixed Income Trader, you need a strong understanding of financial markets, fixed income instruments, and quantitative analysis, often supported by a finance degree or relevant certifications such as CFA. Proficiency with trading platforms (e.g., Bloomberg Terminal), risk management systems, and financial modeling tools is essential. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for making informed decisions and managing client relationships. These skills and qualifications are crucial for navigating complex markets, optimizing trade performance, and ensuring compliance in a highly regulated environment.

What are popular job titles related to Fixed Income Trading jobs in Ontario?

For Fixed Income Trading jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Fixed Income Trading jobs in Ontario look for?

The top searched job categories for Fixed Income Trading jobs in Ontario are:

What cities in Ontario are hiring for Fixed Income Trading jobs?

Cities in Ontario with the most Fixed Income Trading job openings:

Fixed Income Trading jobs near you
Infographic showing various Fixed Income Trading job openings in Ontario as of August 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $143,435 per year, or $69 per hour.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Re-posted 4 days ago

Job description

Python Developer - QIS (Indexes)

Location: Toronto, ON (Hybrid - 3 days onsite per week)Experience: Minimum 8+ yearsEmployment Type: Full-Time / Contract (as applicable)

About the Role

We are seeking a seasoned Python Developer with strong experience in Quantitative Investment Strategies (QIS) and index products to join our Toronto-based team. In this role, you will design, build, and maintain the technology platforms that power index calculation, rebalancing, and QIS strategy implementation. You will work closely with quantitative researchers, index analysts, and product teams to translate systematic strategies into robust, production-grade code.

Key Responsibilities
  • Design, develop, and maintain Python-based applications supporting QIS and index calculation, construction, rebalancing, and back-testing workflows
  • Implement and productionize systematic/rules-based investment strategies (e.g., factor, volatility, carry, momentum, multi-asset strategies) in collaboration with quant researchers
  • Build and optimize data pipelines for market data ingestion, cleansing, and validation across equities, fixed income, FX, commodities, and derivatives
  • Develop tools for index performance attribution, corporate action handling, and daily index level production
  • Ensure accuracy, auditability, and timeliness of index calculations and strategy outputs, including reconciliation and exception handling
  • Write clean, well-tested, well-documented code following software engineering best practices (version control, CI/CD, code reviews, unit/integration testing)
  • Improve performance and scalability of existing calculation engines and libraries
  • Collaborate with cross-functional stakeholders (research, product, operations, risk) to gather requirements and deliver solutions
  • Support production systems, troubleshoot issues, and participate in release and change management processes
  • Mentor junior developers and contribute to team standards and technical direction
Required Qualifications
  • 8+ years of professional software development experience, with strong hands-on expertise in Python
  • Proven experience in Quantitative Investment Strategies (QIS), index development/calculation, or systematic trading environments
  • Strong knowledge of financial markets and instruments - equities, futures, options, FX, fixed income - and index methodologies (rebalancing, weighting schemes, corporate actions)
  • Proficiency with Python scientific/data libraries: pandas, NumPy, SciPy; experience with back-testing frameworks a strong plus
  • Solid SQL skills and experience working with relational databases and large financial datasets
  • Experience with market data vendors and platforms (e.g., Bloomberg, Refinitiv/LSEG, FactSet)
  • Strong grasp of software engineering practices: Git, CI/CD pipelines, automated testing, code review, Agile delivery
  • Excellent analytical and problem-solving skills with high attention to detail and data accuracy
  • Strong communication skills and ability to work directly with quants, product, and business stakeholders
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related quantitative field
Nice to Have
  • Master's degree or professional designation (CFA, FRM)
  • Experience at an index provider, investment bank QIS desk, asset manager, or ETF issuer
  • Exposure to cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and workflow orchestration tools (e.g., Airflow)
  • Experience with performance optimization (vectorization, multiprocessing, Cython) for large-scale calculations
  • Familiarity with derivatives pricing, risk models, or portfolio optimization techniques
  • Knowledge of regulatory considerations for benchmarks/indexes (e.g., IOSCO principles, BMR)
Why Join Us
  • Work at the intersection of quantitative finance and technology on products used by institutional investors
  • Hybrid work model based in downtown Toronto
  • Collaborative environment with direct exposure to quant research and index product teams
  • Competitive compensation and benefits package
Employment Type: CONTRACTOR

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