Quant Developer

Title: Quant Developer Location: Toronto, ON (Onsite) Duration: 6 + Months Daily Responsibilities Automation of internal processes in MDSS2, using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark)) and Python, including but not limited: Market data daily monitoring process, RFI monitoring process, etc. Understanding quantitative methodologies and business requirements. Designing and implementing solutions that fit into the overall strategic framework. Conducting testing to ensure the appropriateness of the implementations. Maintaining the implementation to incorporate user feedback as well as performance enhancements. Develop an AI agent framework to serve as the knowledge base for MDSS2. Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes. Contributing ideas and concerns, and escalating issues for tactical and strategic system solutions and business process improvement Providing effective User Acceptance Testing, ensuring the appropriate validation has occurred from Quantitative Risk Analytics and/or Model Risk Collaborating with IT teams to build out DevOps process to enable efficient product delivery Working with IT colleagues and other stakeholders to reach agreeable and effective solutions to complex technical problems Assisting with business process engineering, ensuring all processes are effective, efficient Assisting with training of team members as required Assisting with project reporting and status updates to senior management. Required Skills: 5+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office. Working experience in application development in a financial institution Strong knowledge in Big Data development and toolsets (HDFS, PySpark, Spark Python, Scala, etc.) Solid understanding of IT practices and ability to manage and prioritize development tasks. Ability to clearly communicate highly technical concepts to business stakeholders. Results oriented with ability to work effectively under consistent time and workload pressures. Delivery focused mentality and ability to work autonomously. Strong quantitative and analytical skills, with attention to detail. Solid knowledge of derivative pricing, market risk methodologies, systems and processes, and regulatory requirements. Experience with Agile framework and project management Nice to have skills: Experience with financial market data across different asset classes Knowledge and skills in AI models and tools, such as Copilot, Agents, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Transformers, and similar emerging AI technologies. Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process. “We use AI in our Hiring processes”