Market Risk Analyst

RBCToronto, ON
Onsite

About The Position

This role will focus on helping define and build the AI landscape within Market Risk North America, ensuring alignment with enterprise objectives, and supporting the enhancement of Local Market Risk (LMR) processes. The ideal candidate will bring strong programming and analytical skills, a keen attention to detail, and the ability to collaborate effectively with cross-functional teams in a dynamic environment.

Requirements

  • Bachelor’s degree in finance, Economics, Mathematics, Data Science, or a related field.
  • 1-2 years of experience at an Investment Bank with exposure to market risk and knowledge of trading products
  • Experience working with large language models programmatically, including developing agentic AI applications with understanding of agent architectures (tool use, planning, memory) and hands-on implementation
  • Comfortable working in a team codebase: version control with Git, pull requests, code reviews, and CI/CD awareness
  • Strong communication skills, with the ability to create clear documentation and presentations.
  • Autonomous & highly motivated with ability to multi-task productively and work independently and collaboratively

Nice To Haves

  • Experience with stress testing, VaR, or scenario analysis preferred; Knowledge of Market Risk modelling preferred
  • Proficiency in Python and SQL; Experience with TypeScript or similar typed languages preferred
  • Strong analytical skills, with the ability to work with large data sets and identify trends or issues.

Responsibilities

  • Contribute to the improvement of LMR infrastructure by identifying opportunities for data standardization and centralization
  • Assist in building AI tools to enhance risk managers’ risk assessment capabilities
  • Assist in developing AI strategy and contribute to project planning
  • Review existing market risk processes and identify pain points / opportunities to use AI to improve the processes.
  • Work closely with IT to support the development and refinement of reporting-related processes
  • Create clear and concise written communications and presentation materials on project progresses for committee meetings, working groups, and senior management
  • Support efforts to align AI initiatives with broader enterprise initiatives
  • Collaborate with teams across Group Risk Management (GRM) to share relevant tools and information with the LMR team

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work
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