AI Engineer

rbc; Greater London; On-site; GBP 100,000 - 150,000; Full time

Benefits offered by this job

Bonus program

Flexible benefits

Training program

Job summary

RBC Capital Markets in London is seeking an AI Engineer to build desk-facing applied AI capabilities for Sales & Trading, with focus on how clients are understood, how prices are set, and how price informs sales decisions.

You will frame business questions as quantitative AI problems, develop predictive analytics for electronic trading and automated pricing, and implement scalable data workflows that run reliably in production.

Qualifications

• Proven experience deploying DL/ML models in production.
• Post-secondary degree in Physics, Mathematics, Quantitative Finance, Computer Science or related field, or equivalent hands-on experience.
• A track record shipping end-to-end systems used by real users.
• Advanced proficiency in Python and applied AI/Generative AI frameworks.
• Experience with quantitative analysis and writing scalable data computations.
• Strong fundamentals in algorithms, data structures, and distributed computing.
• Interest in applying new technologies to create business outcomes.
• Understanding of Sales & Trading workflows in Capital Markets.

Responsibilities

• Identify and build desk-facing applied AI capabilities for Sales & Trading.
• Frame ambiguous commercial questions as tractable quantitative AI problems.
• Develop predictive analytics for electronic trading and automated pricing.
• Design and implement computation at scale for heavy data work.
• Deliver end-to-end AI solutions from evaluation to adoption.
• Learn from user feedback and improve capabilities after deployment.

Skills

Deep Learning

Machine Learning

Python

Applied AI

Generative AI

Algorithms & Data Structures

Distributed Computing

Education

Physics/Math/CS degree

Tools

GenAI frameworks

Python frameworks

Job description

Job Description

What is the opportunity?

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.

Should you be shortlisted, do please let us know if you have any specific requirements for the interview.

This is a permanent, full-time role and requires 4 days in the 100 Bishopsgate, London office.

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.

What do you need to succeed?

Must-have

• 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.

Nice-to-have

• 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.

What is 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, 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.

Agency Notice

RBC Group does not accept agency resumés. Please do not forward resumés to our employees, nor any other company location. RBC Group only pay fees to agencies where they have entered into a prior agreement to do so and in any event does not pay fees related to unsolicited resumés. Please contact the Recruitment function for additio nal details.

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

• Address: 100 BISHOPSGATE
• City: London
• Country: United Kingdom
• Work hours/week: 35
• Employment Type: Full time
• Platform: CAPITAL MARKETS
• Job Type: Regular Pay Type: Salaried
• Posted Date: 2026-09-18
• Application Deadline: 2026-10-02 Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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