détails d'emploi
On behalf of our premier client in the financial services sector, we are seeking a highly skilled Senior Quant Developer to join their Risk Analytics team. In this role, you will be at the intersection of quantitative finance and cutting-edge technology, responsible for building and maintaining sophisticated risk applications that estimate Profit & Loss (P&L).
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This is a high-impact position within a strategic Big Data environment where you will translate complex quantitative methodologies into scalable, production-grade solutions. You will play a pivotal role in evolving the firm’s quant development framework while integrating AI and emerging technologies to stay ahead of market demands.
Advantages
Strategic Impact: Contribute directly to the core risk infrastructure of a major financial institution.
Cutting-Edge Tech Stack: Work extensively with Big Data ecosystems (HDFS, Spark) and lead the adoption of AI tools like Copilot and RAG.
Professional Growth: Gain exposure to diverse asset classes and complex derivative pricing models.
Hybrid Flexibility: Enjoy a balanced work-week with a combination of on-site collaboration and remote deep-work days.
Long-Term Potential: Initial 6-month contract with a clear path for extension based on performance.
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.
Qualifications
Must-have
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
Summary
This is a sophisticated role for a developer who thrives on the challenge of blending big data engineering with quantitative finance. If you are a results-oriented professional with a deep understanding of Spark and Market Risk, we want to hear from you. Join a team that values technical excellence and stay at the forefront of the evolving AI landscape in finance.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
voir plus
On behalf of our premier client in the financial services sector, we are seeking a highly skilled Senior Quant Developer to join their Risk Analytics team. In this role, you will be at the intersection of quantitative finance and cutting-edge technology, responsible for building and maintaining sophisticated risk applications that estimate Profit & Loss (P&L).
This is a high-impact position within a strategic Big Data environment where you will translate complex quantitative methodologies into scalable, production-grade solutions. You will play a pivotal role in evolving the firm’s quant development framework while integrating AI and emerging technologies to stay ahead of market demands.
Advantages
Strategic Impact: Contribute directly to the core risk infrastructure of a major financial institution.
Cutting-Edge Tech Stack: Work extensively with Big Data ecosystems (HDFS, Spark) and lead the adoption of AI tools like Copilot and RAG.
Professional Growth: Gain exposure to diverse asset classes and complex derivative pricing models.
Hybrid Flexibility: Enjoy a balanced work-week with a combination of on-site collaboration and remote deep-work days.
...
Long-Term Potential: Initial 6-month contract with a clear path for extension based on performance.
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.
Qualifications
Must-have
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
Summary
This is a sophisticated role for a developer who thrives on the challenge of blending big data engineering with quantitative finance. If you are a results-oriented professional with a deep understanding of Spark and Market Risk, we want to hear from you. Join a team that values technical excellence and stay at the forefront of the evolving AI landscape in finance.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
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