Quantitative Risk Associate

Royal Bank of CanadaToronto, ON

About The Position

What is the opportunity? We are seeking a quantitative associate to support financial resource management and optimization for Global Markets. You will develop analytical solutions, monitoring systems, and pricing models that help the business optimize the consumption of critical resources—margin, capital, funding, and liquidity—while managing associated market and derivatives risks. What will you do? Develop and maintain analytical models, automated tools, and data infrastructure to monitor financial resources and liquidity metrics for Global Markets businesses Provide cross-asset analytical support to sales and trading desks, assist with derivative pricing where it relates to the cost of resource consumption and secondary risks Research, design and implement strategies to decompose and mitigate financial resource consumption costs while identifying opportunities to improve efficiency and eliminate operational risk Work collaboratively across Front Office, GRM, Enterprise Risk, Finance, Legal, Compliance, and IT to research best practices, develop controls, and enhance risk management methodologies What do you need to succeed? Must have: Master's degree in a quantitative discipline (Mathematics, Statistics, Engineering, Physics, Computer Science) 2+ years of relevant experience preferred Proficiency in Python, C++, Java, SQL, Excel, VBA, OOP, algorithms, advanced problem solving, financial maths and engineering Knowledge of derivative products, valuation methodologies, trading fundamentals, and regulatory frameworks such as Basel III Ability to communicate technical concepts clearly to non-technical audiences Experience with data processing, modeling, back-testing, and building scalable solutions Nice to have MMF, MQF or equivalent What’s in it for you? 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 Work in a dynamic, collaborative, progressive, and high-performing team Ability to make a difference and lasting impact Opportunities to do challenging work Opportunities to take on progressively greater accountabilities #LI-POST

Requirements

  • Master's degree in a quantitative discipline (Mathematics, Statistics, Engineering, Physics, Computer Science) 2+ years of relevant experience preferred
  • Proficiency in Python, C++, Java, SQL, Excel, VBA, OOP, algorithms, advanced problem solving, financial maths and engineering
  • Knowledge of derivative products, valuation methodologies, trading fundamentals, and regulatory frameworks such as Basel III
  • Ability to communicate technical concepts clearly to non-technical audiences
  • Experience with data processing, modeling, back-testing, and building scalable solutions

Nice To Haves

  • MMF, MQF or equivalent

Responsibilities

  • Develop and maintain analytical models, automated tools, and data infrastructure to monitor financial resources and liquidity metrics for Global Markets businesses
  • Provide cross-asset analytical support to sales and trading desks, assist with derivative pricing where it relates to the cost of resource consumption and secondary risks
  • Research, design and implement strategies to decompose and mitigate financial resource consumption costs while identifying opportunities to improve efficiency and eliminate operational risk
  • Work collaboratively across Front Office, GRM, Enterprise Risk, Finance, Legal, Compliance, and IT to research best practices, develop controls, and enhance risk management methodologies

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
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Ability to make a difference and lasting impact
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
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