Finance – Management Consultant

🚀 We’re #Hiring! 🚀
Are you passionate about #banking? Exciting career opportunities are available in #Toronto! – – *Only Local to #Toronto or #GTA please!

Title: Finance – Management Consultant, Capital Markets PMO (Quant Developer)
Duration: 6 months
Location: Downtown Toronto (Hybrid 4 days)

Responsibilities
Application Development: Design, implement, and maintain risk applications to estimate P&L using HDFS and Apache Spark (PySpark).
Quant Framework Design: Execute the overall quantitative development framework, ensuring solutions align with strategic business requirements.
AI Integration: Utilize AI tools and emerging technologies (Transformers, Agents, etc.) to enhance code quality and streamline development productivity.
Testing & Validation: Conduct rigorous testing and provide effective User Acceptance Testing (UAT) to ensure implementations meet Model Risk and Quantitative Risk Analytics standards.
Collaboration & DevOps: Partner with IT teams to build out DevOps processes and resolve complex technical hurdles through effective cross-functional communication.
Process Improvement: Assist with business process engineering to ensure efficiency and provide project status updates to senior management.
Mentorship: Assist with the training of team members to elevate the collective technical capabilities of the group.

Must Haves:
• 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
• Experience with parallel computing

Nice to haves:
• 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.

📩 Interested? Send me a message on LinkedIn or email your resume to gautam.pathak@randstad.ca learn more!