Manager Enterprise Model Risk Management

RBCToronto, ON
Onsite

About The Position

You will work closely with model stakeholders to vet and validate mathematical/statistical insurance models used by RBC. You will also act as a trusted advisor and effective challenger to model developers and users on all matters pertaining to risk modeling requirements.

Requirements

  • Graduate degree in a quantitative discipline such as physics, mathematics, computer science, statistics, data science, finance or financial engineering.
  • Strong academic and research background may also count towards work experience.
  • At least 2 years of work experience in mathematical/statistical modeling in a similar or related role such as a model developer/validator, a front office quant, a risk quant, or a risk manager.
  • Ph.D. research can count as experience.
  • Proficient in model development in Python, Moody’s AXIS, or other programing languages.
  • Broad exposure to and excellent knowledge of a wide range of financial models and model validation/testing techniques.
  • Exceptional analytical, statistical, computational and critical thinking skills

Responsibilities

  • Perform effective challenge of model inputs, methodology, and implementation.
  • Independently build replication/benchmarking models
  • Engage model builders and related function groups personnel as necessary to proactively assess, document, and independently validate mathematical/statistical insurance and banking models and their usage by the bank.
  • Acquire and maintain a thorough understanding of the flow and context of model usage by the business.
  • Ensure that model users adhere to RBC model risk policy

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in an agile, collaborative, progressive, and high-performing team
  • The opportunity to interface with executives from many different parts of the organization
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