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Systematic Trading Jobs in Ontario (NOW HIRING)

Build or manage a Gas Trading or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches. Qualifications : * Proven ...

Build or manage a Gas Trading or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches. Qualifications : * Proven ...

Build or manage a Energy Trading (Power, Oil, Gas, etc.) or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches.

Build or manage a Energy Trading (Power, Oil, Gas, etc.) or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches.

Build or manage a Power Trading or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches. Qualifications : * Proven ...

Build or manage a Oil Trading or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches. Qualifications : * Proven ...

Build or manage a Oil Trading or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches. Qualifications : * Proven ...

Build or manage a Power Trading or run a solo trade, utilizing strategies that could include market making, taking, systematic, semi-systematic, or discretionary approaches. Qualifications : * Proven ...

Mechanical BMG Supervisor

Sault Sainte Marie, ON ยท On-site

CA$93K - CA$129K/yr

Ensure systematic failure, problem and performance analysis on equipment, defining corrective ... Post-secondary education in Mechanical Trade (433a), Mechanical Engineering, or equivalent.

... systematic investment decisions in equity, options, bonds, currencies, commodities, and related derivative products * Implement and support systems behind holdings and position management, trade ...

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Systematic Trading information

What is a systematic trading?

A Systematic Trading job involves developing and executing algorithmic trading strategies based on quantitative models and predefined rules. Professionals in this role use data analysis, programming, and statistical techniques to identify trading opportunities, manage risk, and optimize performance. They typically work with financial instruments like equities, futures, or currencies across various markets. This role requires expertise in coding (Python, C++, or Java), mathematics, and market microstructure. Systematic traders focus on automation and efficiency to minimize human biases and maximize profitability.

What skills and qualifications are needed for systematic trading?

To thrive in Systematic Trading, you need a strong background in quantitative analysis, programming (often Python, R, or C++), and a degree in finance, mathematics, statistics, or a related field. Proficiency with trading platforms, quantitative research tools, and experience with databases and backtesting frameworks is highly valued, and certifications like CFA or FRM can also be beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals stand out in this data-driven environment. These skills and qualities are crucial for developing, executing, and refining algorithmic trading strategies in dynamic financial markets.

What are some typical challenges faced in systematic trading?

One of the main challenges in Systematic Trading is staying ahead of rapidly changing market conditions while ensuring trading algorithms remain robust and effective. Professionals regularly work with large, complex data sets and must continuously monitor and optimize models for accuracy and risk management. Collaboration with other traders, researchers, and technology teams is common, requiring strong teamwork and communication skills. Overcoming these challenges requires both technical expertise and the willingness to learn and adapt quickly in a competitive, fast-paced financial environment.

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

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

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

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

Infographic showing various Systematic Trading job openings in Ontario as of August 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 56% Full Time, 39% Part Time, and 1% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Python Developer QIS (Indexes)

Location: Toronto, ON (Hybrid 3 days onsite per week) Experience: Minimum 8+ years Employment 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