Job DescriptionThe AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to collaborate with Sales & Trading and develop desk-facing solutions. You will work across how sales understand clients, how sales and traders set a price, and how that price drives a sale, applying predictive analytics at scale to electronic trading and automated price setting.What will you do?Identify and build desk-facing applied AI capabilities for Sales & Trading, with an emphasis on improving how sales understand clients, how sales and traders set a price, and how that price drives a sale.Frame ambiguous commercial questions as tractable quantitative and applied AI problems, translating 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, with an emphasis on using evidence from large-scale data to strengthen pricing judgment and improve the usefulness of desk-facing capabilities.Design and implement computation at scale for heavy data work, making quantitative analysis practical, repeatable, and reliable while supporting solutions that can operate effectively in production environments.Deliver applied AI solutions end to end through evaluation, production readiness, and adoption,



shortening the path from an identified opportunity to a capability that real users can rely on in their day-to-day work.Learn from real user feedback and improve delivered capabilities after they are in use, with an emphasis on responding to observed needs, strengthening reliability, and increasing practical value for Sales & Trading stakeholders.In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.What do you need to succeed?Must-haveA 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.Solid foundation in algorithms, data structures,



and distributed computing.Interest in applying and developing new technologies to prioritize the goal of creating business outcomesUnderstanding of Sales & Trading workflows within Capital MarketsNice‑to‑haveRisk 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.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 including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high‑performing teamFlexible work/life balance optionsOpportunities to do challenging workOpportunities to take on progressively greater accountabilitiesAccess to a variety of job opportunities across businessJob SkillsAlgorithmsBig Data ManagementBusinessComputer ScienceData MiningData ScienceDeep LearningMachine Learning (ML)MathematicsPredictive AnalyticsProblem SolvingProgramming LanguagesRisk ManagementAdditional Job DetailsAddress: ROYAL

📌 Ai Engineer (Toronto)
🏢 Anonymous
📍 Toronto