At a Glance
- Tasks: Develop AI solutions for Sales & Trading, enhancing client understanding and pricing strategies.
- Company: Join RBC Capital Markets, a leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible benefits, and a world-class training programme.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in finance by applying cutting-edge AI technologies.
- Qualifications: Experience in Deep Learning, Python, and quantitative analysis is essential.
The predicted salary is between 72000 - 88000 £ per year.
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
- Application Deadline: 2026-10-02 Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
- Our Employment Opportunities
- At RBC, we are guided by living shared values of Client
- #J-18808-Ljbffr
AI Engineer employer: RBC
RBC is an exceptional employer, offering a dynamic work culture that prioritises collaboration and professional growth. With a focus on employee development, the Fund Accountant role provides opportunities to deepen your expertise in fund products while working in the vibrant city of London, known for its financial hub and diverse community. Enjoy a balanced 35-hour work week and the chance to be part of a leading firm that values integrity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at RBC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to RBC.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like RBC.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like RBC that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at RBC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at RBC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at RBC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If RBC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
