AI Engineer at RBC | GB | Rezi

AI Engineer at RBC

AI Engineer

RBC · GB

5 days ago

AI Engineer

RBC · GB

5 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this AI Engineer role.

Rezi rewrites your resume against RBC's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the AI Engineer posting at RBC — free, in seconds.

About the Role

The 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.

Responsibilities

  • 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.

Requirements

  • Proven experience building Deep Learning or Machine Learning models in production environments.
  • A post-secondary degree in Physics, Mathematics, Quantitative Finance, Computer Science or a related quantitative discipline, or equivalent hands-on experience.
  • 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 prioritise 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.

Skills

  • Big Data Analytics
  • Critical Thinking
  • Decision Making
  • Industry Knowledge
  • Machine Learning (ML)
  • Software Engineering
  • Software Product Design
  • Applied AI
  • Generative AI
  • Quantitative Computation
  • Python

Location

  • 100 Bishopsgate, London, United Kingdom

Work Type

  • Permanent
  • Full-time
  • Hybrid (4 days in office)

Education Level

  • Post-secondary degree in Physics, Mathematics, Quantitative Finance, Computer Science or a related quantitative discipline, or equivalent hands-on experience.

Benefits

  • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation
  • Leaders who support your development through coaching and managing opportunities
  • Opportunities to work with the best in the field
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services.

About the Company

  • 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.
  • At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.