Posted 4 months ago
Python Developer - QIS (Indexes)
@ Jay Analytix
Toronto, Ontario
Overview
Jay Analytix is hiring a seasoned Python Developer in Toronto on a contract or full-time basis, hybrid with three days a week on site. The role builds and maintains Python platforms for index calculation, rebalancing and quantitative investment strategy implementation. The posting requires at least 8 years of professional development experience.
Responsibilities:
- Design and maintain Python applications for index calculation and rebalancing
- Implement systematic quantitative investment strategies with quant researchers
- Build and optimize market data pipelines and validation
- Ensure accuracy and auditability of index calculations
- Support production systems and mentor junior developers
Requirements summary:
- 8+ years of professional Python development experience
- Experience in QIS, index development or systematic trading
- Knowledge of pandas, NumPy, SciPy and SQL
- Experience with Bloomberg, Refinitiv or FactSet
- Bachelor's degree in a quantitative or technical field
Tools & skills
Source and dates
Employer career site / ATS feed · breezy
- Employer posting date
- 2026-07-12
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Engineering, Mathematics, Finance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Jay Analytix
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We consume complexity and deliver simplicity!
Full company description
Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web Development ... and other services.
- LinkedIn followers
- 1,106
- People associated on LinkedIn
- 17
- Reported office locations
- Windsor, Ontario N9E 0B2, CA
- Chennai, TamilNadu 600034, IN
- Toronto, Ontario M5B 2L7, CA
- Frisco, Texas 75033, US
- Hyderabad, Telangana 500089, IN
- Business categories
- Information Technology
- Consulting
- Data Management
- Enterprise Software
- Business Intelligence
- Cloud Computing
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Staffing Agency
- Other recorded names
- Jay Analytix
- Jay Analytix Inc
- Specialties
- Data Solutions
- Power BI
- MSBI
- App Development
- Azure
- Web Development
- Azure data factory
- Data warehousing
- Power BI pagination
- zoho CRM
- Zoho CRM Customization
- performance engineering
- ETL
- and AI/ML data solutions
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web…
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 11-50 employees |
| Headquarters | Windsor, Ontario |
| Organization type | Self-Owned |
| Specialties | Data SolutionsPower BIMSBIApp DevelopmentAzureWeb DevelopmentAzure data factoryData warehousingPower BI paginationzoho CRM |
| Open jobs on Jobsy | 11 |
| View page |
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
Journal
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