At a Glance
- Tasks: Join our AI Solutions Group to develop innovative AI tools for broking workflows.
- Company: TP ICAP, a leading global provider of market infrastructure and data solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic, collaborative environment with a focus on innovation and inclusivity.
- Why this job: Make a real impact by embedding AI in financial markets and transforming workflows.
- Qualifications: Strong engineering background with experience in AI/ML and Python.
The predicted salary is between 70000 - 90000 £ per year.
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group operates from more than 60 offices in 27 countries and is home to a stable of premium brands.
Role Overview: This is a newly created opportunity in our Global Broking division for an AI Engineer, joining the firm's new AI Solutions Group. Two engineers are being hired in this phase — one in London and one in New York — to establish the operating model for embedded AI delivery on the broking desks. The AI Solutions Group is a small, business-literate engineering team that sits alongside the brokers and embeds AI capability directly into the broking workflow.
Responsibilities:
- Embed on assigned pilot desks in London or New York — sit with brokers, understand their workflow, and identify areas that are slow, repetitive or error-prone.
- Architect, design and build production-grade AI solutions that remove friction from the broking workflow.
- Deliver every solution through the firm's agreed safe route to production.
- Contribute to and reuse from the shared AI capability library.
- Co-develop the team's shared platforms, frameworks and components.
- Operate on a Kanban delivery model.
- Maintain strict data stewardship, model risk and compliance standards.
- Provide ongoing support for deployed AI solutions.
- Translate stakeholder requirements into technical solutions.
- Present project updates and key developments to broking leadership and stakeholders.
Experience / Competences:
- Strong production engineering background.
- Hands-on experience working with Large Language Models (LLMs) and Generative AI.
- Expertise in Python in AI/ML frameworks and libraries.
- Demonstrated ability to understand and engage with a complex business domain.
- Experience managing technical priorities on a Kanban or Agile backlog.
- Evidence of presenting complex technical concepts to internal professionals.
- Demonstrated ability to deliver within a regulated environment.
Desired:
- AWS experience, including AI services.
- Proficiency in front-end technologies, particularly React.
- Expertise in back-end development.
- Knowledge of OAuth for implementing secure authentication.
- Experience contributing to or consuming a shared component library.
- Prior experience embedding directly with business users.
Personal qualities:
- Proactive, adaptable and detail-oriented.
- Open to innovative ideas, with a strong analytical mindset.
- Excellent communication skills.
- Stays organised and remains calm under pressure.
- Strong collaborator.
Company Statement: We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome.
AI Engineering Lead in London employer: TP ICAP
At TP ICAP, we pride ourselves on being a leading employer in the financial services sector, offering a dynamic work environment that fosters innovation and collaboration. Our London office is not only a hub for cutting-edge AI solutions but also a place where employees are encouraged to grow through continuous learning and development opportunities. With a strong commitment to inclusivity and a culture that values diverse perspectives, we empower our team members to make meaningful contributions while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead in London
✨Tip Number 1
Get to know the company and its culture before your interview. Research TP ICAP's values and recent projects, so you can show how your skills align with their mission. This will help you stand out as someone who genuinely cares about the role.
✨Tip Number 2
Practice your technical skills and be ready to discuss your experience with AI tools. Since this role is all about embedding AI into broking workflows, be prepared to share specific examples of how you've used AI to solve real-world problems.
✨Tip Number 3
Network with current employees or alumni from your university who work at TP ICAP. They can provide insider tips on the interview process and what the team is really looking for in a candidate. Plus, it shows your initiative!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at TP ICAP.
We think you need these skills to ace AI Engineering Lead in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI tooling and production engineering. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Your Understanding of the Business:Since this role involves working closely with brokers, it’s crucial to demonstrate your understanding of their workflow. Share examples of how you've engaged with non-technical professionals in the past and translated their needs into technical solutions.
Highlight Your Technical Skills:Be sure to emphasise your hands-on experience with Large Language Models, Python, and any relevant AI/ML frameworks. We’re looking for someone who can hit the ground running, so let us know what tools you’re familiar with!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on the chance to join our innovative team!
How to prepare for a job interview at TP ICAP
✨Know Your AI Stuff
Make sure you're up to speed with the latest AI tools and frameworks, especially Large Language Models and Generative AI. Brush up on your Python skills and be ready to discuss how you've used these technologies in real-world applications.
✨Understand the Broking Workflow
Before the interview, take some time to research the broking process and how AI can enhance it. Be prepared to share insights on how you would identify slow or error-prone areas and suggest AI-driven solutions that could improve efficiency.
✨Showcase Your Collaboration Skills
This role involves working closely with brokers and other teams. Highlight your experience in collaborative environments and how you've successfully translated technical concepts for non-technical stakeholders. Share examples of how you've worked in a team to deliver projects.
✨Prepare for Governance Discussions
Since this position requires adherence to strict governance standards, be ready to discuss your experience with compliance, security, and risk management in AI projects. Show that you understand the importance of delivering solutions safely and responsibly.
