1 day ago
Toronto, Canada or Montréal, CanadaMid Level / Senior
Responsibilities
- Identify and build desk-facing applied AI capabilities for Sales & Trading.
- Translate ambiguous commercial and desk questions into tractable quantitative and applied AI problems.
- Develop predictive analytics for electronic trading and automated price setting using large-scale data.
- Design and implement computation at scale for heavy data workloads and production environments.
- Deliver applied AI solutions end to end, including evaluation, production readiness, adoption, and post-launch improvement.
- Use feedback from RBC Sales & Trading users to improve reliability and practical value.
- Communicate and collaborate with RBC partners and employees across Canada and 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 used by real users, 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 computation at scale for heavy data work.
- A strong foundation in algorithms, data structures, and distributed computing.
- Understanding of Sales & Trading workflows within Capital Markets.
- Interest in applying and developing new technologies to achieve business outcomes.
- Knowledge of risk concepts, market microstructure, and quantitative finance for pricing, trading, and risk management is preferred.
- Exposure to electronic trading, automated pricing, or predictive analytics is preferred.
- Experience with retrieval, context design, and information-retrieval methods is preferred.
- Experience delivering in a regulated or security-conscious environment is preferred.
Benefits
- Comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.
- Development support through coaching and management opportunities.
- Flexible work/life balance options.
- Opportunities to do challenging work and take on progressively greater accountabilities.
- Access to varied career opportunities across the business.
- Full-time regular employment in Toronto, with 37.5 hours per week.
Tech Stack
Categories
About RBC
Royal Bank of Canada (RBC) provides personal and commercial banking, payments, mortgages, investing, wealth management, insurance, and capital markets services to consumers, businesses, and institutions. The public company, headquartered in Toronto and founded in 1864, serves more than 17 million clients across Canada, the U.S., and other global markets. Revenue comes from interest income, fees, advisory, and trading across its diversified financial services businesses, and it is Canada’s largest bank by market capitalization.