FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying applied AI solutions, with a strong foundation in quantitative analysis, predictive analytics, and deep learning. Proficient in Python and experienced in delivering systems that enhance Sales & Trading workflows within Capital Markets.
Highest-signal resume keywords
Deep Learning Model DevelopmentMachine Learning Model DeploymentPredictive Analytics for TradingApplied AI Frameworks and ArchitecturesQuantitative Analysis and Computation at Scale
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningMachine LearningPredictive AnalyticsQuantitative AnalysisAlgorithmsData StructuresDistributed ComputingPythonInformation-Retrieval MethodsContext Design
Soft Skills
CommunicationUser Feedback IntegrationInitiativeEnd-to-End Ownership
Industry Keywords
Sales & TradingCapital MarketsRisk ManagementMarket MicrostructureElectronic TradingAutomated Pricing
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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