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Systematics Jobs in Ontario (NOW HIRING)

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 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 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 ...

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 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.

THE ROLE The Multi-Asset Strategies team is seeking an exceptional technologist to help build the next generation of our systematic investment platform. The role spans market data, investment signals ...

The research assistant will contribute to a variety of projects, with primary focus on research in machine learning for remote patient monitoring, including conducting systematic scoping reviews of ...

The research assistant will contribute to a variety of projects, with primary focus on research in machine learning for remote patient monitoring, including conducting systematic scoping reviews of ...

Proven track record as a data-driven leader who scales revenue or deal flow through systematic outreach and iterative messaging * Deep expertise in modern sales tech stacks * Strong background in SDR ...

Improves the quality of work performed by performing random audits of executions of preventive and corrective activities, and systematic evaluation of completed tasks and reworks * Reduces ...

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Systematics information

See Ontario salary details

$40

$56

$69

How much do systematics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for systematics in Ontario is $56.74, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $64.90 per hour, depending on experience, location, and employer.

What is the difference between Systematics vs Taxonomist?

AspectSystematicsTaxonomist
Required credentialsBachelor's or Master's in Biology, Ecology, or related fields; often includes training in classification and phylogeneticsBachelor's or Master's in Biology, Botany, Zoology, or related fields; specialized in species identification and classification
Work environmentResearch labs, fieldwork, museums, academic institutionsResearch labs, museums, fieldwork, environmental agencies
Industry usageUsed broadly in biological sciences, ecology, conservationPrimarily in taxonomy, biodiversity studies, conservation projects

Systematics and Taxonomist roles overlap in classification and identification of species, but systematics encompasses broader evolutionary relationships and phylogenetics, while taxonomists focus on species description and classification. Both roles are essential in biological research and conservation efforts.

What is a systematist?

Systematists are scientists who study the diversity of organisms and their evolutionary relationships. They classify and name species, often using morphological, genetic, and ecological data to understand how different organisms are related. Systematists play a crucial role in organizing biological information, which helps in fields like conservation, agriculture, and medicine. Their work often involves field research, laboratory analysis, and the use of computational tools to construct evolutionary trees.

What are common challenges faced by systematists, and how can they be addressed?

Professionals in systematics often encounter challenges such as managing large and complex datasets, staying current with evolving classification methods, and integrating molecular and morphological data. Collaboration with bioinformaticians, regular training on the latest analytical tools, and participation in professional networks can help address these issues. Additionally, effective communication with colleagues in related fields ensures consistency in taxonomy and supports robust research outcomes.

What skills and qualifications are needed to thrive as a systematist?

To excel as a Systematics (Taxonomist), you need a strong background in biology, taxonomy, and evolutionary relationships, usually supported by an advanced degree in biological sciences. Familiarity with laboratory techniques, molecular data analysis, and software like phylogenetic tree builders (e.g., MEGA, PAUP*) is essential. Analytical thinking, attention to detail, and effective communication skills help in interpreting data and collaborating with research teams. These competencies are crucial for accurately classifying organisms, advancing scientific knowledge, and informing conservation efforts.
What are popular job titles related to Systematics jobs in Ontario? For Systematics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Systematics jobs in Ontario look for? The top searched job categories for Systematics jobs in Ontario are:
Infographic showing various Systematics job openings in Ontario as of August 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,014 per year, or $56.7 per hour.

Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund

Moreton Capital Partners

Toronto, ON โ€ข On-site

Full-time

Medical, Life, PTO

Re-posted 21 days ago


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.