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Cfa Python Jobs in Ontario (NOW HIRING)

Synechron

Quantitative Developer with MatLab

Toronto, ON · Hybrid

CA$130K - CA$140K/yr

Python:Extensive experience with Python, particularly with pandas for data analysis, manipulation ... CFA Charter:Holders of the Chartered Financial Analyst (CFA) designation are highly valued.

Manulife

Senior Performance Analyst

Toronto, ON · Hybrid

CA$71K - CA$119K/yr

... Python. * Design, enhance, and deliver Power BI reporting solutions that provide meaningful ... CFA candidacy or designation is considered an asset. * Fully bilingual (French/English): The ...

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CIBC

Manager, Finance & Portfolio Analytics

Toronto, ON · Hybrid

... , CFA, or FRM designation (completed or in progress) is considered an asset. * You act like an ... Solid proficiency in Python and/or R, and the associated analytics packages, is required for this ...

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Cfa Python information

See Ontario salary details

$18K

$95.1K

$183K

How much do cfa python jobs pay per year?

As of Aug 21, 2026, the average yearly pay for cfa python in Ontario is $95,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a CFA Python?

A CFA Python job typically involves leveraging programming skills, particularly in Python, to enhance financial analysis, quantitative modeling, and investment strategies. Professionals in this role often have a Chartered Financial Analyst (CFA) designation and use Python for tasks such as data analysis, algorithmic trading, risk management, and portfolio optimization. The combination of CFA knowledge and Python expertise is highly valued in asset management, hedge funds, investment banking, and fintech industries.

What are the typical daily responsibilities of a CFA Python professional?

A CFA Python professional typically spends their day analyzing financial data, developing and maintaining Python-based financial models, and automating investment processes. They interact closely with portfolio managers, analysts, and data engineers to translate investment strategies into code and actionable insights. Reviewing market trends, back-testing strategies, and preparing reports or presentations are also common tasks. This role requires a blend of technical and finance expertise to ensure that the models and analyses support sound investment decisions.

What are the key skills and qualifications needed to thrive in the CFA Python position, and why are they important?

To thrive as a CFA Python professional, you need strong quantitative finance knowledge, advanced Python programming skills, and a Chartered Financial Analyst (CFA) designation or progress toward it. Familiarity with data analysis libraries (such as pandas, NumPy), financial modeling tools, and statistical packages is essential. Excellent problem-solving abilities, attention to detail, and effective communication are critical soft skills for success in this role. These skills enable professionals to build robust financial models, analyze complex data sets, and clearly present insights to stakeholders in the finance industry.

What are popular job titles related to Cfa Python jobs in Ontario?

For Cfa Python jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Cfa Python jobs in Ontario look for?

The top searched job categories for Cfa Python jobs in Ontario are:

Cfa Python jobs near you
Infographic showing various Cfa Python job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $95,102 per year, or $45.7 per hour.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Re-posted 10 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

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