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Fixed Income Broker Jobs in Toronto, ON (NOW HIRING)

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a ...

Alpaca

Senior AI Platform Engineer

Toronto, ON · On-site

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a ...

BMO Capital Markets

Analyst, Trading Operations

Toronto, ON · On-site

CA$45K - CA$84K/yr

  • Medical

  • Life

  • Retirement

Support account, custodian, broker, security, and operational data setup and maintenance * Provide trade support to equity and fixed income investment teams, including issue resolution and ...

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All JobsFixed Income Broker JobsFixed Income Broker Jobs in Toronto, ON

Fixed Income Broker information

What is a fixed income broker?

A Fixed Income Broker is a financial professional who facilitates the buying and selling of fixed income securities, such as government and corporate bonds, for clients. These brokers act as intermediaries between buyers and sellers, helping investors access fixed income markets and execute trades efficiently. They provide market insights, pricing information, and execute transactions on behalf of institutional or individual clients. Fixed income brokers play a crucial role in ensuring liquidity and fair pricing in the bond market.

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

To thrive as a Fixed Income Broker, you need a deep understanding of financial markets, fixed income products, and typically a bachelor's degree in finance or a related field, often supported by regulatory licenses such as FINRA Series 7 and 63. Familiarity with trading platforms, market data terminals like Bloomberg or Reuters, and CRM systems is essential. Strong negotiation, relationship-building, and communication skills help brokers excel in client interactions and deal-making. These skills and qualifications are crucial for navigating complex financial products, building client trust, and achieving successful transactions in a competitive market.

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

Fixed Income Brokers often face challenges such as navigating volatile market conditions, managing client expectations, and staying compliant with regulatory changes. To address these challenges, brokers need to maintain strong market awareness, build robust communication skills, and stay updated on industry regulations. Regular training, leveraging advanced trading platforms, and fostering strong relationships with clients and colleagues can help brokers succeed in this dynamic environment.

What is the difference between Fixed Income Broker vs Bond Trader?

AspectFixed Income BrokerBond Trader
CredentialsSeries 7, Series 63/66, relevant finance certificationsSeries 7, Series 63/66, finance certifications
Work EnvironmentClient-facing, sales-oriented, brokerage firmsTrading desks, investment banks, hedge funds
Industry UsageFacilitates client transactions, provides market adviceExecutes bond trades, manages portfolios

Both Fixed Income Brokers and Bond Traders require similar certifications and often work within the finance industry. However, Fixed Income Brokers primarily focus on client interactions and facilitating bond transactions, while Bond Traders are more involved in executing trades on trading desks and managing investment portfolios. Understanding these differences helps job seekers identify the right career path in the fixed income market.

How much do fixed income brokers make?

Fixed income brokers typically earn a base salary that ranges from $50,000 to $100,000 annually, with total compensation often exceeding $150,000 when including commissions and bonuses. Earnings can vary based on experience, performance, and the size of the firm, with top performers earning significantly more. Strong knowledge of financial markets and sales skills are important for success in this role.

Is fixed income a good career?

Fixed income brokerage is a specialized finance career involving trading and advising on debt securities such as bonds. It requires strong analytical skills, market knowledge, and often a series of certifications like the Series 7 and Series 63. The field offers opportunities for high earning potential and career advancement but can be competitive and demanding in terms of workload and market volatility.

What are popular job titles related to Fixed Income Broker jobs in Toronto, ON?

For Fixed Income Broker jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Fixed Income Broker jobs in Toronto, ON look for?

The top searched job categories for Fixed Income Broker jobs in Toronto, ON are:

Fixed Income Broker jobs near you
Infographic showing various Fixed Income Broker job openings in Toronto, ON as of August 2026, with employment types broken down into 47% Full Time, 50% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Senior Data Engineer

Alpaca

Toronto, ON • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role: We are seeking a Senior Data Engineer to help design and build the next generation of our Data Platform as we continue to scale to larger customers and new jurisdictions. At Alpaca, Data Engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision making for both internal and external stakeholders. We process hundreds of millions of events daily, and this number continues to grow as we onboard new customers and products.

We prioritize open-source technologies in our data stack while leveraging Google Cloud Platform (GCP) as the foundation for our data infrastructure. This spans batch and stream ingestion, transformation, and consumption layers for BI/Reporting, AI/agent interfaces (MCP), and external third-party sinks. We also oversee data experimentation, cataloging, and monitoring/alerting systems.

Our team is 100% distributed and remote.

Responsibilities:

  • Design, build, and evolve the core data platform infrastructure e.g., distributed query engines, orchestration, warehousing, cataloging, and more.
  • Own our lakehouse infrastructure as code, managing deployments through Terraform and Ansible on Kubernetes.
  • Build and maintain low-latency streaming and CDC ingestion pipelines, as well as batch ingestion paths landing in Iceberg.
  • Develop and scale our BI landscape so downstream teams and agents get performant, self-serve access to lakehouse data.
  • Enforce platform reliability best practices, including monitoring and alerting, on-call rotations, incident response, maintenance windows, runbooks, and SLAs.
  • Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and support new data requirements.

Must-Haves:

  • 5+ years of experience in Data Engineering, including 2+ years building and operating scalable, low-latency data platforms handling > 100M events/day.
  • Strong hands-on experience running data infrastructure on Kubernetes, with cloud-native tooling like Docker and Helm.
  • Production experience with IaC: Terraform, Ansible, and ArgoCD (or equivalents).
  • Deep knowledge of distributed systems (storage, transactions, and query processing) with hands-on experience operating open-source query engines like Trino or Presto.
  • Strong experience with object storage and open table formats, specifically Apache Iceberg.
  • Experience with streaming and CDC systems: Kafka, Redpanda, and Debezium.
  • Hands-on experience with orchestration frameworks (Airflow) and ELT tools (Airbyte).
  • Strong working knowledge of Python and SQL for building pipelines and platform tooling.
  • Experience with Google Cloud Platform and its data services (GCS, Cloud Build, Cloud SQL, Dataproc, etc); or related experience with other cloud services.
  • Ability to thrive in a fast-paced startup environment and adapt infrastructure to rapidly changing needs.

Nice to Haves:

  • Experience with semantic/metrics layers (Cube, dbt, Looker).
  • Familiarity with transformation frameworks (dbt).
  • Familiarity with reverse ETL tooling (Hightouch)
  • Familiarity with data catalog and lineage tooling (OpenMetadata, Datahub)
  • Experience with data access control and governance frameworks (Apache Ranger)
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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