As a Risk Analyst Expert, you will play a pivotal role in developing and maintaining sophisticated risk applications designed to estimate Profits & Losses (P&Ls). Working within a strategic Big Data ecosystem, you will translate complex quantitative methodologies into scalable technical solutions. This role is ideal for a "delivery-focused" individual who can navigate the intersection of Market Risk, Python development, and emerging AI technologies to drive business process improvements.
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Advantages
Strategic Impact: Contribute to high-visibility projects using cutting-edge Big Data infrastructure (HDFS, Apache Spark).
Tech Forward Environment: Opportunity to utilize and integrate AI tools (Copilot, RAG, Transformers) to enhance development productivity.
Collaborative Culture: Work alongside elite IT and Quantitative Risk teams in a professional, results-oriented setting.
Responsibilities
Developing and Maintaining risk applications to estimate profits & losses (P&Ls) using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark), etc.), includes:
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.
Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes, and improve code quality while maintaining compliance and accuracy standards.
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.
Qualifications
Must-have
2+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office.
Solid knowledge of derivative pricing (FICC, credit derivatives, equity derivatives), and market risk methodologies (eg. Greeks, VaR, ES)
Strong quantitative and analytical skills, with attention to detail.
Ability to clearly communicate highly technical concepts to business stakeholders.
Strong Python development skills with focus on finance use cases
Solid understanding of IT practices and ability to manage and prioritize development tasks.
Results oriented with ability to work effectively under consistent time and workload pressures.
Delivery focused mentality and ability to work autonomously.
Nice-to-have
Experience in Big Data development and toolsets (HDFS, PySpark, Spark, Scala, etc.)
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 role is a perfect fit for a self-driven professional who balances technical rigor with a "big picture" understanding of Capital Markets. You will be expected to work autonomously under consistent time pressures while maintaining a high standard of compliance and accuracy. If you are a Python expert with a passion for finance and an interest in the future of AI-driven risk analysis, please submit your application for review.
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.
show more
As a Risk Analyst Expert, you will play a pivotal role in developing and maintaining sophisticated risk applications designed to estimate Profits & Losses (P&Ls). Working within a strategic Big Data ecosystem, you will translate complex quantitative methodologies into scalable technical solutions. This role is ideal for a "delivery-focused" individual who can navigate the intersection of Market Risk, Python development, and emerging AI technologies to drive business process improvements.
Advantages
Strategic Impact: Contribute to high-visibility projects using cutting-edge Big Data infrastructure (HDFS, Apache Spark).
Tech Forward Environment: Opportunity to utilize and integrate AI tools (Copilot, RAG, Transformers) to enhance development productivity.
Collaborative Culture: Work alongside elite IT and Quantitative Risk teams in a professional, results-oriented setting.
Responsibilities
Developing and Maintaining risk applications to estimate profits & losses (P&Ls) using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark), etc.), includes:
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.
Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes, and improve code quality while maintaining compliance and accuracy standards.
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.
Qualifications
Must-have
2+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office.
Solid knowledge of derivative pricing (FICC, credit derivatives, equity derivatives), and market risk methodologies (eg. Greeks, VaR, ES)
Strong quantitative and analytical skills, with attention to detail.
Ability to clearly communicate highly technical concepts to business stakeholders.
Strong Python development skills with focus on finance use cases
Solid understanding of IT practices and ability to manage and prioritize development tasks.
Results oriented with ability to work effectively under consistent time and workload pressures.
Delivery focused mentality and ability to work autonomously.
Nice-to-have
Experience in Big Data development and toolsets (HDFS, PySpark, Spark, Scala, etc.)
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 role is a perfect fit for a self-driven professional who balances technical rigor with a "big picture" understanding of Capital Markets. You will be expected to work autonomously under consistent time pressures while maintaining a high standard of compliance and accuracy. If you are a Python expert with a passion for finance and an interest in the future of AI-driven risk analysis, please submit your application for review.
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.
show more
