1

Junior Quant Developer Jobs in Toronto, ON (NOW HIRING)

... Quantitative Insight Group's (QIG) analytical capabilities by producing rigorous, insight-driven ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

... Quantitative Insight Group's (QIG) analytical capabilities by producing rigorous, insight-driven ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

... Quantitative Insight Group's (QIG) analytical capabilities by producing rigorous, insight-driven ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

Mentor junior developers, fostering technical growth and knowledge sharing within the team. * Lead ... Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations ...

Mentor junior developers, fostering technical growth and knowledge sharing within the team. * Lead ... Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations ...

You will also mentor junior data scientists and contribute to the growth of our AI safety research ... Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation ...

Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. * Mentor and guide junior and mid-level developers, fostering a culture of technical ...

Develop fact-based perspectives through quantitative analysis, qualitative research, and targeted ... Coach, mentor, and develop junior team members * Create an inclusive, collaborative, and high ...

Developing and undertaking Quantitative Risk Analysis, including Cost, Schedule and integrated Cost ... University Degree in Construction Management or Engineering * At least ten (10) years of relevant ...

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

Support and mentor junior team members, fostering a collaborative and growth-oriented environment ... Post-secondary degree in a quantitative discipline. Knowledge, Skills, and Abilities

Real Estate Valuation Consultant

Toronto, ON · On-site +1

CA$50K - CA$80K/yr

... programming, data simulation, analytics, and advanced formula usage (such as Macros, Power Query ... Includes presenting sets of primarily quantitative raw data in a schematic form. The visuals used ...

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ... junior researchers or engineers. - Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly ...

next page

Showing results 1-20

Junior Quant Developer information

What is a junior quant developer?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What are the key skills and qualifications needed to thrive as a junior quant developer?

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What does a junior quant developer do?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.

What are popular job titles related to Junior Quant Developer jobs in Toronto, ON? For Junior Quant Developer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Junior Quant Developer jobs in Toronto, ON look for? The top searched job categories for Junior Quant Developer jobs in Toronto, ON are:
Infographic showing various Junior Quant Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Posted 27 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