At a Glance
- Tasks: Design and develop innovative AI solutions to transform internal audit processes.
- Company: Join TP ICAP, a global leader in market infrastructure and data solutions.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic, inclusive culture with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in financial services.
- Qualifications: Experience in AI technologies, Python, and building scalable solutions.
The predicted salary is between 30000 - 50000 £ 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 is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist.
Role Overview: This is one of several newly created opportunities across our business functions, that will sit within our Group Technology function as an Associate AI Engineer and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources. TP ICAP is a leading global provider of market infrastructure and data solutions, specialising in financial services. With a strong commitment to innovation, we help clients navigate the complexities of global markets by offering advanced technology solutions that enhance decision-making and drive growth. As we continue to expand our technological capabilities, we have established a dedicated AI & Innovation Lab to develop and deliver transformative AI-based solutions across the organisation. Join us in shaping our future through cutting-edge artificial intelligence technology.
Responsibilities:
- Architect and design innovative AI solutions tailored to internal audit challenges, transforming how TP ICAP manages the internal audit lifecycle through AI-driven solutions.
- Build and deploy cutting-edge AI applications for internal audit use cases, ensuring that solutions are high-performing, scalable, and optimised for real-time internal audit operations.
- Translate stakeholder requirements into technical solutions, ensuring alignment with both business objectives and the technical standards established by the central AI & Innovation Lab.
- Scale our AI agent solutions while maintaining strict data stewardship and compliance standards.
- Co-develop and enhance the shared AI service platform and frameworks with the AI & Innovation Lab, contributing internal audit insights and requirements while customising solutions for domain-specific requirements.
- Provide ongoing support and maintenance for deployed internal audit AI solutions, ensuring smooth operation and quick resolution of any issues affecting internal audit processes.
- Present AI project updates and key developments to key leadership and business stakeholders, demonstrating value and ensuring alignment with the firm's strategy.
Experience / Competences:
Essential:- Expertise in AI technologies, including Generative AI and Machine Learning.
- Hands-on experience working with Large Language Models (LLMs).
- Experience with Python in AI/ML frameworks and libraries.
- Track record in the architecture and design of domain-specific solutions with expertise in building scalable and robust services in production environments.
- Experience in managing tech priorities within an Agile backlog, resolving dependencies, and ensuring alignment with both objectives and central AI team standards.
- Evidence of presenting complex technical concepts to business stakeholders with varying technical backgrounds.
- AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks.
- Proficiency in front-end technologies, particularly with React.
- Expertise in back-end development, with experience in building and deploying scalable APIs and microservices to support AI solutions.
- Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full-stack applications.
- We are looking for a proactive, adaptable, and detail-oriented individual who thrives in fast-paced environments and embraces challenges.
- The ideal candidate will be open to innovative ideas, with a strong analytical mindset and problem-solving skills.
- They will demonstrate excellent communication, tailoring their style to suit different audiences, including both technical and internal audit professionals.
- With a keen eye for detail, they will stay organised, remain calm under pressure, and consistently seek opportunities for improvement while maintaining strong collaboration with the central AI & Innovation Lab.
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, ready and willing to contribute.
Associate AI Engineer in London employer: TP ICAP
TP ICAP is an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Belfast. Employees benefit from a high level of autonomy in their roles, along with opportunities for professional growth and client engagement, making it a rewarding environment for those passionate about financial markets and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Associate AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at TP ICAP. Use LinkedIn to connect and engage with current employees. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by brushing up on your AI knowledge and technical skills. Be ready to discuss your experience with Generative AI and Machine Learning. Show us how you can bring innovative solutions to the table!
✨Tip Number 3
Don’t just wait for job openings—create opportunities! If you see a project or initiative at TP ICAP that excites you, reach out and express your interest. We love proactive candidates who are eager to contribute.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at TP ICAP.
We think you need these skills to ace Associate AI Engineer 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 technologies and how they relate to the role. We want to see how your skills align with our mission at TP ICAP!
Showcase Your Projects:Include specific examples of AI projects you've worked on, especially those involving Generative AI or Large Language Models. This will help us understand your hands-on experience and technical expertise.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at TP ICAP
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially Generative AI and Machine Learning. Be ready to discuss your hands-on experience with Large Language Models and how you've applied Python in AI/ML frameworks. This will show that you're not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex technical challenges in the past. Think about times when you had to translate stakeholder requirements into technical solutions. This will demonstrate your analytical mindset and ability to align with business objectives while maintaining technical standards.
✨Communicate Like a Pro
Practice explaining complex technical concepts in simple terms. You’ll likely be speaking with stakeholders from various backgrounds, so being able to tailor your communication style is key. Consider rehearsing with a friend or colleague to get comfortable with this.
✨Be Ready for Agile Discussions
Since managing tech priorities within an Agile backlog is part of the role, be prepared to discuss your experience with Agile methodologies. Think about how you've resolved dependencies and ensured alignment with objectives in previous projects. This will show that you can thrive in fast-paced environments and adapt to changing priorities.