RBC-posted 18 days ago
$80,000 - $135,000/Yr
Full-time • Mid Level
New York, NY
5,001-10,000 employees

What is the Opportunity? RBC is seeking a highly motivated individual to contribute to key AI initiatives in Market Risk NA. This role will focus on helping define and build the AI landscape within Market Risk NA, 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. What will you do? 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 (e.g., Risk Modernization Project) Collaborate with teams across Group Risk Management (GRM) to share relevant tools and information with the LMR team What do you need to succeed? 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 Proficiency in tools and systems used for data analysis and AI (e.g. Python, Excel, SQL, or similar tools) Experience working with large language models programmatically Experience working with Langchain, Langgraph, LlamaIndex, or other such frameworks Experience building AI agents Strong analytical skills, with the ability to work with large data sets and identify trends or issues. 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 Knowledge of Market Risk modelling preferred What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off. 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. Opportunities to do challenging work. Opportunities to build close relationships with clients. The expected salary range for this particular position is $80,000-$135,000 (New York), depending on your experience, skills, and registration status, market conditions and business needs. You have the potential to earn more through RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals. RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that: Drives RBC’s high-performance culture Enables collective achievement of our strategic goals Generates sustainable shareholder returns and above market shareholder value #LI – POST

  • 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 (e.g., Risk Modernization Project)
  • Collaborate with teams across Group Risk Management (GRM) to share relevant tools and information with the LMR team
  • 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
  • Proficiency in tools and systems used for data analysis and AI (e.g. Python, Excel, SQL, or similar tools)
  • Experience working with large language models programmatically
  • Experience working with Langchain, Langgraph, LlamaIndex, or other such frameworks
  • Experience building AI agents
  • Strong analytical skills, with the ability to work with large data sets and identify trends or issues.
  • 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
  • Knowledge of Market Risk modelling preferred
  • A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
  • 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.
  • Opportunities to do challenging work.
  • Opportunities to build close relationships with clients.
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