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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 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 ...

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 ...

Strategize and oversee research trips and trade show attendance, holding teams accountable to ... Proven track record as a data-driven leader who scales revenue or deal flow through systematic ...

... 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.

Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund

Moreton Capital Partners

Toronto, ON โ€ข On-site

Full-time

Medical, Life, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Immediate Start - Quant Researcher – Systematic Commodities Hedge Fund

Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team.

This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets.

We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless.

Key Responsibilities
  • Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.
  • Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.
  • Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).
  • Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.
  • Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.
  • Collaborate with developers to transition research into production-ready strategies.
  • Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.

Requirements

  • Masters or PhD in either Statistics, Economics, Computer Science.
  • Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).
  • Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).
  • Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.
  • Academic experience in research and proven ability to translate academic work to production code.
  • Prior exposure to systematic trading or financial modelling.
  • Ability to design experiments, interpret results, and iterate quickly in a research environment.

Bonus points for:

  • Knowledge of commodities (agriculture, energy, metals) or macro markets.
  • Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite).
  • Experience collaborating in version control environments.
  • Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.
  • Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.

Benefits

  • Direct impact: Your alphas will go live into production portfolios, with real capital behind them.
  • Research-first culture: We value deep thinking, novel approaches, and systematic rigor.
  • Close collaboration across a global team.
  • Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.
  • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.
  • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off.
  • Positive, inclusive and encouraging work environment.