AI Engineer

Posted 6 hours ago

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About the role

  • AI Engineer building production AI, Generative AI, and predictive pricing solutions for RBC Capital Markets. Developing scalable desk-facing tools for Sales & Trading.

Responsibilities

  • Identify and build desk-facing applied AI capabilities for Sales & Trading
  • Frame ambiguous commercial questions as tractable quantitative and applied AI problems
  • Translate business needs and desk context into clear opportunities that can be evaluated, delivered, and adopted by real users
  • Develop predictive analytics for electronic trading and automated price setting
  • Design and implement computation at scale for heavy data work
  • Deliver applied AI solutions end to end through evaluation, production readiness, and adoption
  • Learn from real user feedback and improve delivered capabilities after deployment
  • Communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide

Requirements

  • A post-secondary degree in Physics, Mathematics, Quantitative Finance, Computer Science or a related quantitative discipline, or equivalent hands-on experience
  • 2 to 5 years of experience building Deep Learning or Machine Learning models in production environments
  • A demonstrated record of shipping non-trivial systems that real users depend on, with initiative and end-to-end ownership
  • Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures
  • Experience with quantitative analysis and setting up computation at scale for heavy data work
  • Strong foundation in algorithms, data structures, and distributed computing
  • Interest in applying and developing new technologies to prioritize the goal of creating business outcomes
  • Understanding of Sales & Trading workflows within Capital Markets
  • Risk concepts, market microstructure, and quantitative finance fluency for pricing, trading and risk-management
  • Exposure to electronic trading, automated pricing, or predictive analytics
  • Retrieval, context design, and information-retrieval methods
  • Experience delivering in a regulated or security-conscious environment

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
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

Job title

Job type

Full Time

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Python

Location requirements

OnsiteTorontoCanada

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