JA

Jay Analytix Inc

Source d’offres vérifiée

We consume complexity and deliver simplicity!

Windsor, Ontario

IT Services and IT Consulting
11 à 50 personnes

À propos

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.

Postes ouverts

Business Analyst (DataBricks/DataLake)

Hybride · 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.

UI React Developer (QTS)

Hybride · 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.

Python Developer - QIS (Indexes)

Hybride · 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.

Securitization QA Engineer

Hybride

Location: Toronto, ON (Hybrid) Job Type: Contract Experience: 7+ Years Domain: Banking / Capital Markets Job Summary We are seeking an experienced Securitization QA Engineer with a strong background in Banking and Capital Markets. The ideal candidate will have hands-on experience testing securitization platforms, structured finance products, and financial applications. The candidate should be proficient in manual and automation testing, SQL, API testing, and end-to-end validation of financial data. Must-Have Skills 7+ years of QA experience in Banking or Capital Markets. Strong knowledge of S…

DevOps Solutions Engineer

Sur place

Job Summary We are looking for an experienced DevOps Solutions Engineer to join our Banking Technology team. The ideal candidate will have strong expertise in DevOps practices, cloud infrastructure, CI/CD automation, Infrastructure as Code (IaC), and containerization technologies. The candidate will work closely with development, infrastructure, and security teams to design, implement, and maintain scalable, secure, and highly available deployment pipelines and cloud environments. Must-Have Skills 7+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE). Stro…

Quantative Developer

Hybride · 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.

Quantative Developer

Hybride · 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.

Business Data Analyst (Capital Markets)

Hybride

Only candidates who have work authorization in Canada/USA may apply. Business/Data Analyst - Capital Market Contract Hybrid Toronto / Halifax What is the opportunity? The primary purpose of this position is to collaborate with Capital Markets (CM) business stakeholders, Quantitative & Technology Services (QTS) IT teams and Enterprise teams to facilitate the broader adoption of the Data Strategy across Capital Markets. Engage and partner with QTS application teams moving onto the Data Insights platform, outlining features and enhancements. Analyze data sets and develop detailed requirements ar…

Business Data Analyst (Capital Markets)

Hybride · 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.

QA Lead — AI Systems & Models Testing

Hybride · 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.

AI Engineer - Banking Domain

Hybride · 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.

Python Developer + Pricing

Sur place · 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.