We consume complexity and deliver simplicity!
Windsor, Ontario
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.
On-site
Lead the end-to-end UX design process for complex financial systems, from initial concept to final delivery. Collaborate with cross-functional teams to conduct user research, create prototypes, and implement innovative digital solutions.
Hybrid · Toronto
Act as the bridge between business stakeholders and data engineering teams to gather requirements and define data transformation logic. Drive the delivery of large-scale data platform migrations and analytics initiatives using Databricks and cloud data lakes.
Hybrid · Toronto
Design and maintain Python-based platforms for index calculation, rebalancing, and the implementation of systematic investment strategies. Collaborate with quantitative researchers to translate strategies into production-grade code and optimize data pipelines.
Hybrid · Toronto
Develop and support real-time risk and PnL applications for Capital Markets using React and Redux. Design data-intensive user interfaces and collaborate with trading and quant teams to implement business requirements.
Hybrid · Montréal
Develop and implement pricing and risk models for derivative products using production-quality Python code. Collaborate with quants and traders to build libraries for portfolio analytics and perform backtesting of trading strategies.
Hybrid · Toronto
Develop and implement pricing and risk models for derivative products using production-quality Python code. Collaborate with quants and traders to build libraries for portfolio analytics and perform strategy backtesting.
Hybrid · Toronto
The analyst will collaborate with business and IT teams to facilitate the adoption of data strategies and define functional requirements for data platforms. They are responsible for analyzing data sets, managing product backlogs, and ensuring system specifications align with business goals.
Hybrid · Montréal
Lead the design and execution of test strategies for AI systems, focusing on prompt evaluation and output quality. Validate RAG pipeline integrity and develop test harnesses for LangChain and LangGraph applications.
Hybrid · Montréal
Design and deploy production-grade machine learning and generative AI solutions for banking use cases such as fraud detection and credit risk. Implement MLOps best practices and ensure compliance with financial regulatory guidelines and governance frameworks.
On-site · Montréal
Develop and maintain pricing libraries for financial instruments and implement complex pricing models like Black-Scholes. Collaborate with front-office, risk, and quantitative teams to build scalable valuation and risk analytics solutions.
